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Minnesota, United States · $150,000-$200,000 · Full-time

The Specialty Finance team is seeking a hands-on technical engineer to build and own a scalable analytics and dashboard platform that tracks deal performance across private credit and specialty finance asset classes. This person will partner closely with the Specialty Finance team and broader technology team to define requirements, build data pipelines and metrics for large data sets, and deliver a web-based portal where dashboards and analytical tools are centrally maintained. The role also includes an opportunity to lead pragmatic AI initiatives and elevate best practices in modern analytics and engineering. You are a builder with a deep understanding of Specialty Finance who enjoys owning products end-to-end—data, analytics, and delivery. You can operate comfortably in an investment environment where requirements evolve, and you can balance speed with quality, controls, and maintainability. Responsibilities: Design, build, and maintain a suite of dashboards that track deal/asset performance, risk, and key portfolio KPIs (e.g., collateral performance, delinquency, prepayment, loss metrics, triggers/covenants, concentrations, vintage curves). Build a unified web portal / internal site where dashboards, reports, and self-serve analytics tools are organized, versioned, and accessible with appropriate permissions. Act as point of contact for third party data providers to help normalize, and validate deal-level data. Support ad-hoc analysis for investment memos, portfolio reviews, and ongoing surveillance. Own project plans and delivery cadence: scope, milestones, dependencies, and stakeholder updates. Liaise with broader technology team to advocate for Specialty Finance requirements and ensure solutions meet firm standards. Work with investment stakeholders and convert them into clear technical specifications and prioritized roadmaps. Identify high-impact AI opportunities Required Qualifications 10+ years of relevant experience as a full-stack engineer specifically in specialty finance, asset-backed finance, private credit, or an adjacent buy-side setting. Advanced Python skills for data engineering and analytics (pandas/numpy, API integration, scripting, testing). Strong SQL skills and experience building analytics-ready data models with large data sets and hands-on Snowflake experience Experience building dashboards and/or data applications (e.g., Streamlit/Dash, Plotly, Power BI/Tableau, or equivalent) with attention to UX for investment professionals. Demonstrated project management ability: translating ambiguous needs into shipped products, managing stakeholders, and delivering on timelines. Strong communication skills with the ability to work directly with investors and explain technical concepts clearly. Preferred Qualifications Prior experience at a private credit / specialty finance buy-side firm, or direct exposure to loan-level consumer assets (mortgages, credit cards, ABS/RMBS, whole loans, or specialty lending). Familiarity with core credit concepts and performance metrics (delinquency/default/loss, prepayment, seasoning, vintage/cohort tracking, credit enhancement/triggers, concentration and covenant monitoring). Applied AI/ML experience (not necessarily deep research): using LLMs for workflow automation, document extraction, anomaly detection, or decision-support tooling. Core Technical Stack (Representative) Languages: Python, SQL, React Infrastructure: Redhat Openshift, Containers Data Warehouse: Snowflake, Microsoft SQL Server Visualization / Apps: Streamlit/Dash/Plotly, Tableau Version Control & Delivery: Git, Microsoft Azure DevOps #LI-LN1 #LI-Onsite Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship. Compensation Details The salary range for this role is $150,000-$200,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Neuberger is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact onlineaccommodations@nb.com . Learn about the Applicant Privacy Notice .

NIKE

Karnataka, Karnataka, India · Full Time

Become a Part of the NIKE, Inc. Team NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game. WHO YOU WILL WORK WITH You will work closely with business stakeholders, product owners, and your peers within the engineering team to ensure the successful delivery of reporting solutions. Additionally, you will work with other technology teams that lead the up- and down-streams solutions to coordinate dependencies. WHO WE ARE LOOKING FOR We seek passionate engineers to join our team. As a Principal AI/ML Engineer, you will influence and develop robust machine learning and generative AI solutions that have a direct impact on the business. You should have experience in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. Sagemaker or DataBricks). You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in an agile product model. As a Principal AI/ML Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle. As a result, you will be expected to provide technical vision and guidance to your teammates; therefore, strong communication skills are critical in this role. To make it clear, we're not looking for just anyone. We're looking for someone special, someone who had these experiences and clearly demonstrated these skills: Undergraduate degree in Computer Science, a Master's degree in a related engineering field, or equivalent experience 10+ years of professional experience in software engineering 3+ years of experience in the field of Machine Learning Engineering or related fields Strong analytical mindset and experience leading others in problem solving Proficiency working in a team and mentoring others to write robust, maintainable, and extendable code in Python; containerized in Docker, and automated with CI/CD Expertise with agile development and test-driven development Expertise with data structures, data modeling and software architecture Expertise in producing predictive or mathematical optimization models and deploying them to production Experience with complex data sets, ETL pipelines, SQL, and general data engineering Expertise in MLOps or API development is highly desirable Expertise with cloud architecture and technologies, especially Amazon Web Services Expertise with Spark, Kubernetes, Docker, Jenkins, Databricks, or Terraform is highly desirable Effective communication skills with team members, stakeholders, the business, and in code Experience influencing technical strategy through all aspects of technical design and implementation Proficiency providing technical leadership within a team and mentorship to others WHAT YOU WILL WORK ON If this is you, you’ll be working with the Corporate Functions Artificial Intelligence team at Nike focused on delivering AI capabilities for Nike’s corporate functions. With teammates globally distributed, you’ll be joining a global organization working to solve machine learning problems at scale. You’ll be designing and implementing scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact. You’ll also contribute to core advanced analytics, machine learning, and generative AI platforms and tools to enable both prediction and optimization model development. You thrive when surrounded by talented colleagues and aim to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large. NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. Apply Now Share Job Share Job Posting Faceboox Opens In A New Tab LinkedIn Link Opens In New Window Email Close-Medium (Default Size)-icon Close Menu

New York, United States · Full-time

Neuberger is seeking a talented, hands-on Senior Full-Stack Engineer to join our technology team and help shape the digital experiences our clients rely on every day. You will be a core contributor to Neuberger's client-facing web and mobile platforms, built to serve sophisticated institutional and private markets investors, with the opportunity to bring engineering excellence directly to bear on client impact. You will work across the full stack, with a strong emphasis on building polished, performant, and accessible front-end experiences. You will partner closely with UX designers, product managers, and business stakeholders to translate complex financial data into intuitive, engaging interfaces — while also contributing to the cloud-native architecture, data pipelines, and observability practices that keep these platforms running reliably at scale. What You'll Do Design and deliver polished, client-facing web experiences that reflect Neuberger's brand and meet the expectations of sophisticated institutional and private markets clients Build scalable, high-performance front-end applications with a focus on component architecture, state management, data-fetching patterns, type-safe API contracts, and robust error handling Partner with UX/UI designers, product managers, and client-facing business stakeholders to translate user research and client feedback into refined, production-ready features Ensure all client-facing interfaces meet WCAG accessibility standards (minimum AA compliance) and perform consistently across supported browsers and devices Contribute to and enforce front-end design systems and component libraries that ensure visual consistency across client-facing products Develop and maintain ETL pipelines to ensure accurate, timely, and high-quality data movement across platforms Drive cloud-native architecture decisions leveraging containerization, serverless computing, and modern DevOps practices Deliver production applications instrumented with OpenTelemetry, with particular attention to performance, uptime, and reliability given direct client exposure Contribute to mobile application development efforts as needed, applying full-stack skills to extend client-facing experiences beyond the web platform. Explore and implement automation and workflow optimization opportunities using Python, .NET, NodeJS, or other modern tooling Conduct code reviews and mentor developers on best practices in front-end engineering, security, and performance Collaborate cross-functionally with infrastructure, DevOps, and data engineering teams to ensure seamless end-to-end delivery What We're Looking For Must Have Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent work experience 4 – 6 years of hands-on experience developing enterprise applications, with a strong emphasis on front-end engineering Demonstrated experience shipping client-facing or externally accessible web applications, with direct accountability for user experience quality, performance, and reliability Strong proficiency in React and TypeScript, including single-page application architecture, modern component libraries (Material UI, shadcn/ui), solid CSS fundamentals, theming, and web performance best practices (Core Web Vitals, lazy loading, code splitting, and caching strategies) Experience with modern database technologies — SQL Server, PostgreSQL, MongoDB, or CosmosDB Experience building and/or maintaining ETL pipelines and data flows across platforms Hands-on experience with Docker/containerization and CI/CD pipelines Experience building secure, cloud-native applications — including identity-aware authentication, secrets management, least-privilege access, and secure handling of sensitive client or investor data Strong written and verbal communication skills, with the ability to translate technical decisions for non-technical business and client-facing stakeholders Strong problem-solving skills, attention to detail, and the ability to empathize with end-client workflows — translating complex financial data into clean, intuitive user experiences Ability to work both independently and collaboratively in a fast-paced, agile environment Nice to Have Experience with .NET Kubernetes or OpenShift experience Azure experience, including Container Apps and Entra ID Mobile application development experience Familiarity with observability and monitoring practices, including OpenTelemetry Experience in financial services; familiarity with private markets, fund data, or investor-facing platforms is a strong plus Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, or similar, and modern development environments such as devcontainers or cloud workspaces Experience working in a formal Agile/Scrum environment #LI-DD2 #LI-Hybrid Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship. Compensation Details The salary range for this role is $110,000-$135,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Neuberger is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact onlineaccommodations@nb.com . Learn about the Applicant Privacy Notice .

Reddit

Remote - United States

Analytics Engineer at Reddit in Remote - United States focuses on Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.

General Motors

Austin, Texas, United States of America | Warren, Michigan, United States of America · Full time

Job Description The Role Join our GPSC Insights Engineering team, responsible for ideating, incubating, and delivering new data solutions for global purchasing supply chain (GPSC), Supplier Quality (SQ) and our partners. As the AI Data Engineering Manager, you will lead a multidisciplinary team responsible for building and operating industrialized data assets, AI data products, and data platforms that support Business Intelligence, Advanced Analytics, machine learning, and generative AI use cases. You will own a distinct AI data engineering area, translate functional strategy into a clear team direction and roadmap, and ensure delivery of trusted, scalable, secure, observable, and fit-for-purpose data products. In this role within the GPSC Insights Engineering organization under the Data organization, you will lead individual contributors and, as appropriate, other technical leaders across complex initiatives spanning multiple teams and departments. You will combine advanced technical judgment with people leadership, workforce planning, resource allocation, stakeholder influence, operational accountability, and change leadership to deliver measurable outcomes aligned with GM and GPSC priorities. What You'll Do Lead and develop a diverse team of data engineers, AI/ML platform engineers, software engineers, and technical leads; establish clear roles, objectives, priorities, and measures of success. Translate GPSC and Data organization strategies into an actionable AI data engineering roadmap, operating plan, delivery commitments, and team-level objectives and key performance indicators. Own the architecture, delivery, and operational health of scalable data and AI engineering capabilities across batch, streaming, and near-real-time workloads. Guide the team in assembling, curating, and transforming structured, semi-structured, unstructured, and multimodal datasets for model training, validation, evaluation, feature generation, embedding generation, retrieval, and inference. Set technical direction and engineering standards for data contracts, schema management, lineage, metadata, data quality, observability, security, privacy, responsible AI, and platform reliability. Drive adoption of repeatable MLOps/LLMOps patterns, including data and model versioning, experiment and evaluation workflows, CI/CD, deployment automation, monitoring, drift detection, and retraining triggers. Set technical direction for AI application development, retrieval, evaluation, and orchestration capabilities, ensuring the team applies appropriate enterprise patterns. Establish policies, processes, and reusable frameworks for source-system integrations from files, database extracts, APIs, event streams, external suppliers, and supply-chain systems. Plan and allocate people, capacity, technology, and budget across the team’s portfolio; reprioritize and reallocate resources as business needs, risks, and opportunities change. Drive strategy and implementation of large projects that impact multiple departments, balancing performance, scalability, reliability, resiliency, security, privacy, cost, and SLA/SLO attainment. Make and communicate key technical decisions within the managed area; resolve competing demands, sensitive situations, conflicts, and tradeoffs within the organization and with partner teams. Build strong relationships with senior business and technology partners, data scientists, ML engineers, product owners, platform teams, cybersecurity, governance, suppliers, and vendors; use persuasion and negotiation to gain alignment on new approaches. Oversee production support, incident response, root-cause analysis, and preventative improvements for data and AI platforms; ensure the team meets commitments and addresses gaps when results fall short. Establish mechanisms to understand customer and partner needs, use data and insights to prioritize work, and raise risks or issues that could negatively affect business outcomes or customer experience. Lead change management and bounded experimentation to evaluate emerging AI, data, and engineering technologies while protecting enterprise standards and operational stability. Build the team’s capability through hiring, staffing, career discussions, coaching, succession planning, performance management, recognition, and targeted development of technical and leadership skills. Create an inclusive, accountable, and psychologically safe environment where employees share ideas, challenge assumptions respectfully, learn from setbacks, and own outcomes. Model GM behaviors by speaking candidly about risks, protecting sensitive information, holding partners to ethical standards, moving with urgency, collaborating as one team, and considering enterprise impact in decisions. Your Skills & Abilities (Required Qualifications) Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Data Science, or a related field, or equivalent experience. 10+ years of experience in data engineering, software engineering, platform engineering, AI/ML engineering, or a related discipline, including production delivery of scalable data solutions. 3+ years of experience directly leading technical teams, including responsibility for coaching, performance, staffing, prioritization, and delivery outcomes. Advanced understanding of data and AI platform architecture, including data pipelines, data products, feature or embedding pipelines, model data delivery, and production operations. Strong technical proficiency in Python and SQL, with working knowledge of distributed data processing such as Apache Spark and container orchestration such as Kubernetes. Experience with streaming and event-driven data solutions using Kafka or comparable technologies, including operation in Kubernetes-based environments. Experience with cloud platforms; Azure preferred, with AWS or GCP also considered. Demonstrated experience establishing engineering standards for CI/CD, infrastructure automation, testing, observability, incident response, security, and production support. Experience with data architecture, modeling, schema design, data contracts, relational and non-relational data stores, object storage, APIs, and data governance. Working knowledge of machine learning and generative AI data lifecycle requirements, including training/evaluation data, feature engineering, embeddings, retrieval, inference, monitoring, and data/model drift. Experience setting objectives, managing roadmaps, allocating resources, tracking KPIs, communicating status and risks, and delivering results across multiple teams or departments. Experience leading teams that deliver AI applications or data products using AI development frameworks and services such as LangChain, CrewAI, Vertex AI, or comparable technologies. Working knowledge of RAG/vector search, FastAPI/React application patterns, LLM evaluation, and agent orchestration. Strong communication, influencing, conflict-resolution, and negotiation skills, with the ability to adapt recommendations for technical, business, and executive audiences. What Can Give You a Competitive Advantage (Preferred Qualifications) Master’s degree in Computer Science, Software Engineering, Data Science, Business, or a related field. Experience managing managers, technical leads, or teams with diverse engineering and data/AI specialties. Experience with generative AI or LLM data platforms, retrieval-augmented generation, prompt and evaluation datasets, vector databases, embeddings, or knowledge retrieval systems. Experience with feature stores, model registries, experiment tracking, model serving, data/model monitoring, or other MLOps/LLMOps capabilities. Experience with Databricks, Snowflake, Azure Machine Learning, MLflow, or similar platforms. Experience designing ingestion and processing frameworks for heterogeneous and multimodal data such as documents, video, audio, and images. Knowledge of data observability, model/data drift, bias or fairness considerations, explainability, and controls for trustworthy AI. Experience with workforce planning, operating budgets, vendor or supplier management, financial stewardship, and large-scale technology change. Experience with automotive, manufacturing, global purchasing, supplier, or supply-chain data domains. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. 

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

Relocation benefits are available for candidates who qualify under company policy.

 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources . Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire . Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

NIKE

Beaverton, Oregon, United States

Become a Part of the NIKE, Inc. Team NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game. Software Engineer - NIKE, Inc. - Beaverton, OR. Develop, code/configure, test programs/systems and solutions problems in order to meet defined digital product specifications and direction; develop robust advanced analytics and machine learning solutions that have a direct impact on the business; help design and build scalable software solutions, make critical technical design choices, implement and integrate new technologies, manage and evolve existing platforms; design and implement scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact; assess a well-defined problem and lead the development of a technical solution that meets the needs of the business and aligns with architectural standards; participate in peer code reviews; contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development; solve machine learning problems at scale; and develop products focused primarily on consumer data that meets global expectations of security, reliability, and performance; collaborate with cross-functional teams to deliver impactful outcomes. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY. Employer will accept a Bachelor’s degree in Information Technology, Computer Science and 5 years of progressive post-baccalaureate experience in the job offered or an engineer-related occupation. Experience must include: Data Engineering, Data Platform, and Analytics solutions using Databricks or Snowflake. Source-to-Pay and Procurement platforms such as Coupa Business rules management, workflow automation, and business process orchestration using enterprise BPM platforms such as Pega. Finance procure-to-pay (P2P) business processes, including sourcing, purchasing, invoicing, and vendor management. Design and implementation of integrations between SAP ERP and finance-related SaaS solutions using APIs and middleware technologies. Application integration and middleware technologies such as Oracle SOA Suite and Oracle Service Bus (OSB). Event streaming and messaging using Apache Kafka. Data orchestration and flow management using Apache NiFi. Enterprise application development using Java, Spring Boot, Python, and Node.js, including Domain-Driven Design (DDD) and RESTful service architecture. Cloud-native, microservice-based application development and deployment on Amazon Web Services (AWS), including API-first architecture. Containerized application design and development using Kubernetes. DevOps, CI/CD, Infrastructure as Code (IaC) using Git, Jenkins, Terraform, and AWS CloudFormation. Application observability, monitoring, and alerting using Splunk, SignalFx, and Amazon CloudWatch. Managed File Transfer (MFT) using Axway. Apply at www.Nike.com/Careers (Job R-96465) #LI-DNI We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form . NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. Apply Now Share Job Share Job Posting Faceboox Opens In A New Tab LinkedIn Link Opens In New Window Email Close-Medium (Default Size)-icon Close Menu

Mumbai Goregaon · Full time

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: We’re looking for a strong Java + scala Data Engineer with solid hands-on experience in design and implement high-quality scalable and robust technical solutions across all layers of application. The role demands deep comfort with java and its ecosystem. Design and implement high-quality scalable and robust technical solutions across all layers of application development, including APIs, application logic, performance, reliability, persistence, tests, CI/CD, and IaC. Mentor less experienced team members, led by example, and produce high quality code, while adhering to development best practices. Participating in our agile ceremonies and actively driving towards the team’s goals. Analyze user requirements, envision system features and functionality. Working collaboratively with a global team of technologists and business users. Participate in all aspects of SDLC (analysis, design, coding, testing, implementation, and deployment) Leading with ideas and innovation. Managing communication and partnering with our end users to design solutions. Required Skills : At least 4 years' relevant experience (4-8 years of total experience) with skills using Core Java, Java Restful APIs, Gradle/Maven, Spring, Spring Boot, and related frameworks. Solid understanding and experience with Object-Oriented design and development Solid understanding and experience with Microservices architecture and design Experience in building server-side applications using J2EE Technologies. Excellent problem-solving skills Experience in building Cloud or Cloud ready applications. Experience with building highly scalable, secure, and fault tolerant microservices. Proficient with database technologies with complex SQL queries (preferably PostgreSQL / MS SQL Server / DB2), including modelling and performance tuning. Highly proficient working in Linux environments. Experience building solutions in Python / Perl and Unix shell such as Bash. Experience with DevOps Competency with source control (preferably Git) and Continuous Integration tools such as Jenkins. Practiced understanding of Agile development methodologies & understanding of DevOps Integration Strong familiarity with Agile software/tools (e.g., JIRA, etc.). Preferred Qualifications : Excellent problem-solving skills Experience in building Cloud or Cloud ready applications. Experience with building highly scalable, secure, and fault tolerant microservices. Mandatory skill sets: Core Java Spring Boot Rest API MVC Microservices Sql python/shell scripting CICD. preferred skill sets: React Angular KUBERNETS Years of experience required: Experience : 4-8 Years Education qualification: B.Tech / M.Tech / MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Microsoft Artificial Intelligence (AI) Builder Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date May 19, 2026

Amsterdam

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. At Adyen, the supply chain is not just about moving physical goods—it's about fueling our global momentum. We work across the business to bring clarity, optimize payment terminal and accessories inventory, and help teams scale our global operations faster. We are now looking for an EPM Solution Architect (Supply Chain) to join our growing team in Amsterdam. In this role, you will own our supply chain planning, inventory, and Sales & Operations Planning (S&OP) models in Pigment, raising the bar on data quality, forecast automation, scenario analysis, and scalable supply chain execution. This role sits at the intersection of supply chain operations, enterprise data, and advanced systems modeling. As one of the founding technical members of our internal Planning Center of Excellence (CoE), you will build the foundational models that help us predict demand, optimize stock visibility, and run a world-class supply chain with absolute confidence. What you'll do ● Own Pigment for Supply Chain Planning: Build, maintain, and continuously improve our core supply chain models (S&OP, Demand & Supply Planning, Terminal Registry, Lifecycle Tracking, and Stock Visibility). ● Lead the Co-Build Phase: Partner directly with our implementation consultants during the IMS project build phases to actively configure logic, supply source definitions, and translate complex supply chain rules into scalable multi-dimensional Pigment models. ● Fix Supply Chain Data at the Root: Identify recurring discrepancies in inventory tracking and planning outputs. Trace them back through data pipelines, lookups, and warehouse APIs (in partnership with our Data Engineering team) to drive root-cause fixes. ● Drive Strategic Autonomy: Own and modify supply chain routing rules, serial attributes, and forecasting parameters directly within the planning platform post-implementation, ensuring we run a self-sufficient ecosystem without relying on external consultants. ● Enable and Upskill Planners: Champion platform adoption across the organization. Design training resources and upskill demand and supply planners to become "Level 2" model builders so they can serve as first-line administrators. ● Build Scenario Planning & Stress Testing: Establish advanced scenario simulation models to stress-test our supply chain against global market disruptions, lead-time changes, and warehouse expansion impacts. Who you are ● You bring 4–8 years of experience in supply chain analytics, operations planning, business intelligence, or systems-focused roles. ● You understand core supply chain dynamics (S&OP, lead times, safety stock, inventory valuation, and warehouse logistics) and can translate these mechanics into robust model logic. ● You are an experienced planning modeler—hands-on experience with Pigment or Anaplan is a strong plus. If you have experience in other multi-dimensional planning tools (Adaptive, Jedox, TM1), you have the drive and capacity to become a Pigment expert rapidly. ● You are strong in data: you can structure large supply chain datasets, validate complexbusiness logic, build automated system validation controls, and write SQL. ● You are a natural platform owner: you architect for system performance, scalability, governance, and pristine user experience, not just individual outputs. ● You are an excellent communicator who can distill complex supply chain logic into simple, intuitive planning screens for business users. ● You are familiar with numerous AI models and embed AI usage in your daily work. Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here . Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Snowflake

SG-Singapore · FullTime

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the APJ region. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories. Work with account teams across APJ region to help customers adopt AI/ML use cases on Snowflake ON DAY ONE, WE WILL EXPECT YOU TO HAVE: 10+ years of experience building and deploying machine learning and 3+ years of building and deploying Generative AI solutions in the cloud. Practitioner level hands-on experience on Machine Learning workload including MLOps, Feature Store, Model Deployment, Model Explainability and Observability Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing. Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark. Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos. Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages. Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.) 1+ years of practical Snowflake experience. Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) Working experience with quota carrying roles in the past. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

TELECOMMUTE

About PrePass PrePass® is North America's most trusted weigh station bypass and toll management platform. We’re transforming how the transportation industry operates—creating solutions that keep trucks moving safely, efficiently, and compliantly. This means making bold decisions and building systems that support not only fleets but the broader economy. It all starts with enabling commercial vehicles to keep rolling with seamless toll management, weigh station bypass, and safety solutions. It’s what we do best, and we do it to meet the demands of the road every day. That’s why people join us: our solutions are implemented in real-time, on highways and interstates across the nation, helping fleets go farther, faster. This work challenges and rewards, presenting complex problems that need ambitious answers. We hire bold thinkers with a heart for impact, a passion for progress, and the optimism to shape the future of transportation. About the Role We’re seeking a BI Analyst to join our Business Intelligence team, reporting to the Manager of Business Intelligence. In this role, you’ll translate data into actionable insights that support business decision-making across the company. You’ll collaborate with business and technical stakeholders to understand their goals and objectives and deliver meaningful insights. This position is primarily remote, with occasional visits to our downtown Phoenix office, located directly across the street from Footprint Center. Essential Responsibilities Reporting & Analysis Gather, analyze, and interpret data to provide insights and recommendations to stakeholders. Provide detailed quantitative and qualitative data analysis and reporting, applying statistical methods where appropriate. Identify trends, patterns, and anomalies in tolling, bypass, device, and customer data. Respond to ad hoc report and data requests submitted through the BI service desk across multiple business areas. BI Solutions & Data Quality Create and enhance Power BI reports, dashboards, and visualizations, including semantic model and DAX measure changes. Troubleshoot report refresh failures and data issues, partnering with data engineers on root-cause fixes. Validate report outputs against warehouse and source data before release to ensure data accuracy, reliability, and accessibility. Document reports, metric definitions, and data lineage in Confluence. AI-Assisted Analytics Use AI-assisted workflows to translate business questions into reporting artifacts (semantic model changes, DAX, and documentation), validating outputs for accuracy and policy compliance. Incorporate AI tools into routine reporting and documentation work, writing clear, specific prompts and refining them when the first output isn't quite right. Begin applying simple agentic tools to single, well-defined tasks under guidance. Review AI outputs for accuracy before use, ask informed questions, and seek out new AI use cases relevant to your work. Stakeholder Collaboration & Process Improvement Gather and document business requirements to support reporting and analytics initiatives. Proactively look for ways to improve your own workflows and reporting processes. Collaborate across the BI team to reach shared goals, and mentor teammates one-on-one as opportunities arise. Requirements Qualifications 2+ years of experience as a BI Analyst, Data Analyst, or in a similar reporting role. Hands-on experience building and maintaining Power BI reports and semantic models, including DAX. Intermediate SQL skills (joins, aggregations, CTEs, window functions) for querying, validating, and reconciling data. Ability to manage multiple requests from different stakeholders and explain findings clearly to non-technical audiences. Bachelor's degree (BSc/BA) in a relevant field. Preferred Experience with Microsoft Fabric (lakehouses, warehouses, notebooks) or a medallion (Bronze/Silver/Gold) data architecture. Experience using AI tools (e.g., Microsoft Copilot, Claude, ChatGPT) in analytical work, with a habit of verifying results before use. Microsoft Certified: Fabric Analytics Engineer Associate (DP-600). Experience using Git for version control of BI assets. Familiarity with tolling, transportation, or fleet data. Exposure to Python, Alteryx, or Power Automate. Exceptional collaboration skills, with the ability to navigate dynamic environments and embrace change. Benefits How We Will Take Care of You Robust benefit package that includes medical, dental, and vision that start on date of hire. Paid Time Off, to include vacation, sick, holidays, and floating holidays. 401(k) plan with employer match. Company-funded “lifestyle account” upon date of hire for you to apply toward your physical and mental well-being (i.e., ski passes, retreats, gym memberships). Tuition Reimbursement Program. Voluntary benefits, to include but not limited to Legal and Pet Discounts. Employee Assistance Program (available at no cost to you). Company-sponsored and funded “Culture Team” that focuses on the Physical, Mental, and Professional well-being of employees. Community Give-Back initiatives. Culture that focuses on employee development initiatives. Join Us At PrePass, our mission drives us. We invest in relationships. We challenge ourselves to innovate and improve. We win together. Simply put, we live our Core Values. Ready to help move the transportation industry forward? Join us and let’s drive progress—together.

Alameda, California, United States · Full-time

We’re hiring a Data Engineer to help build and scale our data backbone. This will be a high impact position on the Anthro Data Team, with significant ownership across pipelines, modeling, and cloud infrastructure. Our data spans lab characterization equipment, high-volume manufacturing systems, thousands of battery cycler channels, and business software. Your day to day will include: Design and build production-grade ELT pipelines for lab and manufacturing data Architect secure, reliable data movement between on-prem systems and AWS Develop well-structured, performant warehouse data models for analytics and ML Write, test, and optimize complex SQL used in production dashboards and workflows Deploy and manage AWS infrastructure using infrastructure-as-code Implement monitoring, data quality checks, and system observability Partner closely with scientists and engineers to translate real-world workflows into reliable data systems Requirements Bachelor’s degree in CS, Engineering, Mathematics, or a scientific discipline 4-5+ years of data engineering experience Strong Python — able to write clean, modular, well-tested, production-ready code Advanced SQL — comfortable designing schemas, reading query plans, and tuning performance at scale Experience with data modeling and query optimization in a cloud data warehouse Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform, CDK, CloudFormation) Strong software engineering fundamentals (version control/Git, testing, CI/CD) Ability to operate independently and own data systems end-to-end Nice to Have: Experience with manufacturing or industrial data Scientific background or familiarity with lab-based research AWS and/or ClickHouse-specific experience Experience supporting AI/ML data pipelines Benefits Competitive salary and equity compensation commensurate with experience. Expected salary range for posted level is $120-160k 15 Vacation Days, 10+ Holidays, Sick time off Full medical, dental, and vision coverage for team members, 60% coverage for dependents 401k with match Paid parental leave with flexible return-to-work policy Diverse and inclusive work environment

Snowflake

FR-Paris · FullTime

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important enterprise customers. Depending on alignment, your client will sit within either Financial Services or technology, telecommunications & industrial manufacturing. You will own the full technical relationship, drive use case expansion across business units, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior-level, high-visibility role with global scope and direct exposure to Snowflake's leadership. What You Will Do: Own the end-to-end technical relationship for a single strategic Global Account in financial services or manufacturing/telco, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of enterprise buyers Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, or smart manufacturing, supply chain telemetry, and AI/ML workloads Act as a subject matter expert on enterprise data architecture, translating complex regulatory, operational, and technical requirements into practical, production-ready Snowflake solutions Partner closely with the Account Executive/GAM and leadership as the sole technical owner of the account, co-developing the joint success plan and ensuring technical alignment across every active opportunity Serve as the primary internal advocate for the account within Snowflake, coordinating across Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption Qualifications: 8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology, with significant exposure to financial services or manufacturing/telco customers Deep understanding of enterprise data use cases across financial services or manufacturing Strong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade solutions live Proficiency in SQL, Python, and data engineering tools commonly used in enterprise environments (dbt, Spark, Kafka, or equivalent) Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global institutions Track record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships with strategic enterprise accounts Experience using AI and LLM-based tools in technical workflows, with the ability to articulate Snowflake's Cortex AI capabilities in an enterprise context Nice to Have: Direct experience working within or selling to global financial institutions or enterprise manufacturers Hands-on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps Familiarity with enterprise cloud migration patterns and the technical landscape of legacy platforms (Teradata, Oracle, Hadoop) Experience with real-time data architectures, streaming ingestion, and event-driven data platforms in regulated or industrial environments Background in data mesh, data product design, or enterprise data governance frameworks relevant to industry compliance and operational requirements Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

NIKE

Karnataka, Karnataka, India · Full Time

Become part of the Converse Team Converse is a place to explore potential, break barriers and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Converse, it’s about each person bringing skills and passion to a challenging and constantly evolving world to make things better as a team. WHO YOU’LL WORK WITH This role typically reports to a Director of Software Engineering within Global Converse, ITC and partners across Financial Services and enterprise technology functions. · Finance product managers, business analysts, controllers, accounting, treasury, tax, and audit partners · Enterprise resource planning (ERP), order management, supply chain, retail, and commerce technology teams · Platform Engineering, Site Reliability Engineering (SRE), Data Engineering, Security, and Architecture partners · External technology partners, payment providers, financial institutions, and software vendors WHO WE ARE LOOKING FOR We are seeking a Lead Software Engineer – Financial Services for Global Converse. You are a strategic, hands-on engineering leader who can translate complex financial requirements into secure, scalable, reliable, and auditable technology solutions. You bring strong expertise in distributed systems, enterprise integrations, data integrity, and financial process enablement. You will provide technical direction, architectural guidance, and delivery leadership while improving the maturity of Converse financial technology capabilities across the enterprise. You are comfortable operating in environments where accuracy, reconciliation, traceability, controls, security, and system availability are critical. You collaborate effectively with finance and technology stakeholders, simplify complex systems, and mentor engineering teams to deliver measurable business outcomes. QUALIFICATIONS · Bachelor’s degree in Computer Science, Engineering, Information Systems, Finance Technology, or a related field. · 10+ years of professional software engineering experience building, integrating, and operating production systems, with demonstrated technical leadership. · Experience designing microservices, domain-driven solutions, event-driven architectures, and RESTful APIs using languages such as Java/Kotlin, JavaScript/TypeScript, Python, Node.js, or Go. · Hands-on experience with cloud-native services, preferably AWS services such as EC2, ECS, API Gateway, Lambda, relational and non-relational databases, and container orchestration using Docker and Kubernetes. · Experience implementing CI/CD, infrastructure automation, observability, and DevOps practices, including ownership of production deployment and operational support. · Experience with financial systems and processes such as general ledger, accounts payable, accounts receivable, settlement, reconciliation, treasury, tax, budgeting, forecasting, financial reporting, or record-to-report. · Experience in implementing financial applications. · Understanding of finance-related integrations across commerce, order management, inventory, procurement, payment, banking, and reporting platforms. · Experience designing reliable batch, API, file-based, and event-driven integrations, including error handling, replay, idempotency, reconciliation, and end-to-end traceability. · Strong knowledge of financial data quality, master and reference data, chart of accounts, accounting periods, currencies, exchange rates, and auditability considerations. · Knowledge of secure coding, identity and access management, segregation of duties, encryption, secrets management, privacy, compliance, and technology controls. · Familiarity with messaging and streaming platforms such as Kafka or Event Hubs and observability tools such as Splunk or SignalFx. · Experience troubleshooting complex distributed systems and resolving issues involving data integrity, transaction processing, performance, and cross-system dependencies. · Proven delivery excellence in highly collaborative, multidisciplinary, and globally distributed teams. · Excellent verbal and written communication skills, with the ability to explain technical decisions, risks, controls, and trade-offs to technical and business stakeholders. · Eagerness to apply AI-assisted engineering and intelligent automation to improve developer productivity, financial operations, anomaly detection, reconciliation, and support outcomes. · A growth mindset with strong collaboration, curiosity, adaptability, sound judgment, and a commitment to engineering quality. · Lead the architecture, design, development, testing, deployment, and operation of Financial Services applications, services, integrations, and data flows. · Partner with finance business stakeholders to understand accounting and operational requirements and translate them into clear technical capabilities and delivery plans. · Design secure, resilient, scalable, and auditable cloud-native solutions that support financial transactions, accounting events, reconciliations, reporting, and enterprise integrations. · Develop and govern APIs, microservices, event-driven components, scheduled processes, and integration services connecting ERP, commerce, order, inventory, payment, banking, tax, and reporting platforms. · Ensure financial transactions and accounting data are complete, accurate, timely, traceable, and recoverable across system boundaries. · Define technical patterns for validation, exception handling, idempotency, replay, reconciliation, balancing, period controls, and operational monitoring. · Provide technical leadership for financial platform, including interface design, data mapping, dependency management, cutover readiness, and production stabilization. · Review designs and code developed by other engineers, provide actionable feedback, and ensure adherence to architecture, security, quality, and engineering standards. · Build and maintain automated unit, integration, contract, end-to-end, regression, data validation, and performance tests to protect financial accuracy and system reliability. · Identify and resolve performance bottlenecks, production defects, reconciliation breaks, data-quality issues, and operational risks across distributed financial systems. · Integrate and maintain CI/CD pipelines, automated controls, environment configuration, release governance, and production support practices. · Implement observability using logs, metrics, traces, alerts, dashboards, and business-level controls for critical financial processes and interfaces. · Collaborate with Security, Architecture, SRE, Data, Risk, Compliance, Internal Audit, and external vendors to deliver controlled and supportable solutions. · Contribute to architecture evolution, technical roadmaps, platform simplification, modernization, cost efficiency, security by design, and reduction of operational risk. · Participate in Agile delivery practices, including refinement, planning, daily collaboration, demonstrations, retrospectives, and continuous improvement. · Create and maintain technical documentation, architecture decisions, interface specifications, data mappings, support playbooks, and operational knowledge content. · Mentor engineers and analysts, raise engineering maturity, and promote ownership, quality, reliability, and continuous learning across the team. Converse is more than a company; it’s a worldwide advocate for self-expression. This belief motivates our employees, permeates our working environment and inspires our products. No two of us look or think exactly alike. We are each one-of-a-kind. Individually and as a culture, we have the freedom to create and grow professionally. Generous benefits packages only sweeten the experience. From Boston to Shanghai, from Brand Design to Finance, Converse is a brand that celebrates the unique and creative people of the world. Together, we’re different. Apply Now Share Job Share Job Posting Faceboox Opens In A New Tab LinkedIn Link Opens In New Window Email Close-Medium (Default Size)-icon Close Menu

NIKE

Karnataka, Karnataka, India · Full Time

Become part of the Converse Team Converse is a place to explore potential, break barriers and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Converse, it’s about each person bringing skills and passion to a challenging and constantly evolving world to make things better as a team. WHO YOU’LL WORK WITH This role typically reports to a Senior Manager, Data Engineering within Global Converse at the India Technology Center (ITC). You will partner with Supply Chain & Logistics, Product, Engineering, Data Platform, Planning, Merchandising, Finance, and business teams to deliver trusted data products, scalable analytics, and decision-ready insights. WHO WE ARE LOOKING FOR We are looking for a hands-on Senior Data Engineer who combines strong data engineering capabilities with practical analytics and business intelligence experience. You will design reliable data pipelines and curated datasets using Snowflake or Databricks, apply strong SQL and data modeling skills, and enable decision-ready reporting through Tableau or Sigma. Experience supporting Supply Chain or Logistics is preferred, as this role will translate operational questions across inventory, order flow, fulfillment, transportation, and delivery performance into trusted data solutions. You should be comfortable working across the full data lifecycle, from understanding business requirements and designing scalable models to production support, performance optimization, data quality, and analytics adoption. The ideal candidate communicates clearly, collaborates across global teams, and takes ownership from problem definition through delivery and continuous improvement. 6-8 years of relevant experience in data engineering, analytics engineering, business intelligence, data analytics, or related roles. Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or an equivalent combination of education, experience, and training. Strong SQL skills and hands-on data engineering experience with Snowflake or Databricks; experience with both is preferred. Experience using Tableau or Sigma to deliver dashboards, governed KPIs, semantic models, and self-service analytics. Preferred: experience delivering data or analytics solutions for Supply Chain, Logistics, inventory, order management, fulfillment, transportation, or related retail operations. WHAT YOU’LL WORK ON You will build and support scalable data products that help Supply Chain & Logistics and other enterprise partners make faster, better-informed decisions. You will combine data engineering, analytical modeling, and BI skills to turn business questions into reliable, production-ready datasets and analytics solutions. Partner with Supply Chain & Logistics stakeholders to understand operational questions, define measures, and translate requirements into scalable data solutions. Build, test, deploy, and maintain data pipelines, transformations, and curated analytical datasets using SQL, Snowflake, Databricks, Python, Spark, or related technologies. Design reusable dimensional data models and semantic layers that improve consistency, quality, discoverability, and trust across reporting and analytics. Develop and evolve Tableau or Sigma dashboards, KPI frameworks, and self-service analytics products that enable users to monitor performance, investigate drivers, and take action. Analyze and enable insights across demand, inventory, order fulfillment, transportation, delivery performance, and related operational measures. Collaborate with Product Managers, Engineers, Platform teams, and business partners through design reviews, testing, release, adoption, and production support. Improve engineering quality through automated testing, code reviews, documentation, performance tuning, observability, and reliable DevOps practices. Converse is more than a company; it’s a worldwide advocate for self-expression. This belief motivates our employees, permeates our working environment and inspires our products. No two of us look or think exactly alike. We are each one-of-a-kind. Individually and as a culture, we have the freedom to create and grow professionally. Generous benefits packages only sweeten the experience. From Boston to Shanghai, from Brand Design to Finance, Converse is a brand that celebrates the unique and creative people of the world. Together, we’re different. Apply Now Share Job Share Job Posting Faceboox Opens In A New Tab LinkedIn Link Opens In New Window Email Close-Medium (Default Size)-icon Close Menu

Massachusetts, United States

About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. The Role As a Senior Quantitative Developer in the Front-office Engineering organization at Man Systematic, you will work closely with Quantitative Researchers and Portfolio Managers. Your challenges will be varied and may include onboarding new datasets, implementing new trading signals, developing portfolio optimization tools, building data visualization frameworks, enhancing our research platform, and performance tuning existing code using efficient numerical algorithms and cluster-computing solutions. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: NumPy, SciPy, Pandas, statsmodels, and scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and MS SQL. We use Control-M and Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries. Working Here Man Systematic has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We We regularly talk at leading industry conferences across the globe We host and sponsor Boston meetups and London’s PyData and Machine Learning Meetups We open-source some of our technology, including our ultra-high-performance DataFrame database, ArcticDB . See https://github.com/man-group for a full list and more information. We’re fortunate enough to have a fantastic open-plan office overlooking the Boston harbour, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on work-life balance and the wellbeing of our staff. We are simultaneously committed to “levelling the playing field” and believe that agile working promotes inclusivity across teams, regions and business units. In general, Technology roles are expected to be in the office for 3 days a week. However, the specifics can vary based on the role, team, and individual circumstances, and are ultimately subject to the manager’s discretion. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest, best and most highly skilled, passionate technologists. Essential 5-7 years of professional experience in software engineering, preferably with a focus on quantitative applications Expert knowledge of Python and Pandas and proficiency with related scientific libraries including NumPy, SciPy, statsmodels, and scikit-learn Experience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deployment Proficient on Linux platforms and strong understanding of Git Working knowledge of one or more relevant database technologies, such as MS SQL, Postgres, or MongoDB Demonstrated experience working with large data sets, both structured and unstructured Advantageous Experience in quantitative software development within a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bank Experience mentoring junior team members and managing projects Experience building web applications using modern frameworks like React Proficient with distributed computing technologies such as Spark, Dask, Kubernetes, Redis Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing Strong understanding of financial markets and instruments Experience working with financial market data Relevant mathematical knowledge e.g., statistics, time-series analysis Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills: able to establish and maintain a close working relationship with quantitative researchers, portfolio managers, traders and senior business people alike Confident communicator: able to argue a point concisely and deal positively with conflicting views The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant. The Firm reserves the right to modify this pay range at any time. Massachusetts Pay Range $150,000 - $170,000 USD Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity . You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Helsinki, Uusimaa, Finland | Tallinn, Harju, Estonia · Full time

At ABB , we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world. This position reports to: IS Manager Your role and responsibilities We are looking for an experienced Data Engineer to strengthen our Data & AI capabilities within ABB Motion Drive Products and High Power Drives. In this role, you will play a key part in designing, developing and continuously improving enterprise data solutions, with Snowflake as our primary data platform. You will work across the data engineering lifecycle, from source system integration and data modeling to developing scalable data pipelines, reusable data structures and production-ready data solutions. Data Engineer takes technical ownership of data engineering implementations, contributes to data platform development and architecture, and helps establish common engineering practices that enable reliable, high-quality data for business analytics, reporting and AI applications. You will join a skilled IT team and collaborate closely with Data Architects, Data Platform Owners, Data Owners, Data Analysts and business stakeholders across our global organization. The role is based in either Helsinki, Finland, or Tallinn, Estonia. We offer a hybrid work model; however, the role requires regular on-site work at our offices in Pitäjänmäki, Helsinki, or Jüri, Tallinn. You will be mainly accountable for: Data Engineering & Development Design, develop and maintain scalable, high-performance data solutions using Snowflake as the primary data platform Optimize Snowflake workloads for performance, scalability, reliability and cost efficiency Data Modeling & Architecture Design and implement logical and physical data models, including dimensional models and reusable enterprise data structures Translate complex business requirements into scalable technical designs and data models Contribute to common data models, reusable data products and enterprise data architecture standards Data Integration & Platform Development Design and implement robust data integrations across enterprise applications, databases, APIs and cloud storage services Contribute to the continuous improvement of data platform capabilities, engineering frameworks and development standards Ensure data quality, traceability, reliability and appropriate security controls throughout the data lifecycle DevOps, Automation & Release Management Implement and maintain Git-based development workflows, CI/CD pipelines, automated testing and deployment processes Develop monitoring, logging, error handling and data quality validation mechanisms for production data solutions Support production operations and ensure solutions are maintainable, well-documented and aligned with established platform standards Qualifications for the role Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering or a related field 5+ years of relevant hands-on data engineering experience, including substantial experience developing solutions on Snowflake Strong experience in data modeling, including relational, dimensional, logical and physical data model design Proven experience designing and developing scalable ETL/ELT pipelines and integrating data from multiple enterprise source systems Good programming skills in Python for data engineering, automation and integration Experience with Microsoft Azure cloud data services, particularly Azure Data Lake Storage Experience with Git, CI/CD practices, automated deployments and software engineering principles, preferably using Azure DevOps Good English communication skills; Finnish or Estonian language skills are considered an advantage Valid working permit to Finland or Estonia Considered an advantage Experience with additional enterprise data platforms such as Databricks or Microsoft Fabric Experience with enterprise data governance, metadata management, data lineage and data product development Experience developing data solutions for manufacturing, industrial operations or global enterprise environments More about us ABB Drive Products serves the industries and infrastructure segments with world-class drives and programmable logic controllers (PLC). With its products, global scale and local presence, the Division helps customers to improve energy efficiency, productivity and safety. If you have questions, please contact IS Manager Jukka Itkonen, tel. +358 50 3326781.Please note the following call times: Friday, 6 November, 10:00-11:00 and Monday, 9 November, 16:00-17:00. Apply for the position by November 16, 2026. We look forward to receiving your application. Work model: Hybrid #LI-hybrid Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences. Ready to make an impact? Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 · Full time

The pay range is $132,000.00 - $238,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits . About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . Target is one of the world's most recognized brands and one of America's leading retailers. But behind the brand our guests love, is a culture of continual innovation and right now, we are up to big things! Target's security team is a place where innovation happens daily. Interested in a culture that combines ongoing learning, engineering excellence, and stellar outcomes? We are too – that's why we work here. Join our team to improve Target's security and move the business forward. As a Senior Engineering Manager on the Operational Technology (OT) Security team, you'll lead a team of Lead Engineers responsible for standing up, operating, integrating, automating, and scaling OT security capabilities across Target's OT infrastructure. Your team will own the platforms and pipelines that give Target visibility into OT assets, prioritize exposure, harden endpoints and configurations, and route the right findings to the right operational teams for safe, prioritized remediation. You’ll partner with Infrastructure, Supply Chain, Architecture, and Network Security teams on OT network segmentation, backup and restore, and identity and access initiatives. Beyond deep technical expertise, you have a strong bias for action and a builder's mindset. You are comfortable translating ISA/IEC 62443-aligned control requirements into implementable engineering patterns; owning the day-to-day operation and continuous improvement of the platforms that surface OT risk; coordinating exceptions, compensating controls, and change windows with partners; and providing white-glove engineering support for the highest-risk findings. You have the engineering credibility to lead a team that builds and operates this platform, and the communication and partnership skills to make the controls land safely in environments where availability, safety, and continuity of product movement matter as much as security. Expect to: • Lead, build, and develop a team of Lead Engineers responsible for the day-to-day implementation and operation of Target's OT security capabilities. • Establish good stakeholder communication, work closely with partner teams, and help drive requirements while being a strong advocate of safe, efficient, and secure engineering practices in OT environments. • Build and manage a team of high performing engineers and provide leadership, coaching, motivation and recommend staffing levels, operating procedures, tools, and systems for the team. • Provide career development and performance management to a team of engineers. • Set the engineering culture and bar for the team — code quality, testing, review, on-call hygiene, postmortems, change safety, and operational excellence in environments where downtime has direct business impact. • Own the end-to-end engineering, deployment, configuration, and ongoing operation of Target's OT security platforms — including OT asset visibility and exposure platforms and the data pipelines that move OT signal into enterprise systems. • Operate these platforms as production systems: own their availability, performance, observability, coverage, data quality, upgrade cadence, and incident response, with clear service objectives and on-call coverage. • Own OT vulnerability and exposure management: intake, normalization, correlation, deduplication, enrichment, and risk prioritization of OT findings — using operational consequence, asset criticality, exploitability, exposure, compensating controls, vendor supportability, and maintenance windows rather than CVSS alone. • Own secure-configuration assurance for in-scope OT: develop hardening patterns, use OT security platforms and other available evidence to identify deviations, prioritize gaps, and validate remediation. • Own the endpoint security workstream for OT: eligibility, compatibility testing, pilots, deployment, health monitoring, rollback, exception handling, and compensating-control recommendations. • Provide white-glove engineering support for the highest-risk OT findings, while equipping OT Infrastructure, site teams, system owners, and vendors to execute most changes through their normal operational processes. • Own the OT security data pipeline: APIs, connectors, schemas, transformation, enrichment, reconciliation, routing, and monitoring that move OT Security platform data and related signal into the appropriate enterprise dashboards, ticketing systems, and remediation workflows with clear ownership attribution and SLAs. • Partner with Network Security on OT network segmentation and with IAM / Vendor Risk on vendor-access controls. Provide asset, traffic-flow, exposure, and operational-context data to inform engineering. • Translate ISA/IEC 62443-aligned requirements into a prioritized engineering roadmap, and deliver against it predictably. • Drive multi-quarter initiatives end-to-end: from problem framing and scoping, through design, build, rollout, adoption, and steady-state operation. • Make pragmatic build-vs-buy decisions and own the lifecycle of the OT security tools the team operates: vendor relationship, evaluations/POCs, contract input, capability adoption, and sunsetting. • Drive adoption of the team's controls across in-scope OT environments, including onboarding, exception/governance workflows, and enablement of OT Infrastructure and site teams. • Treat the OT security control plane as a product: invest in automation, self-service, and platform thinking so controls scale with Target's OT footprint. • Continuously reduce toil for both your team and Target's OT engineering organization — fewer one-off tickets, more paved roads, better defaults, faster feedback into the remediation lifecycle. • Provide security engineering consultation on new or materially changed in-scope OT solutions — including product/vendor evaluations, design reviews, endpoint compatibility assessments, hardening requirements, vulnerability-management expectations, telemetry requirements, and integration planning. • Represent the team's work clearly to senior leadership: roadmap, risk reduction, operational health, and tradeoffs — in language tuned to the audience. Core responsibilities are described within this job description. Job duties may change at any time due to business needs. About you: • 4-year degree OR equivalent work experience • 8+ years of hands-on experience in technology, with deep experience in OT and security engineering and the adjacent disciplines that make OT security work — asset visibility, vulnerability and exposure management, endpoint security, data engineering/automation, and integration with enterprise remediation and governance workflows • 3+ years managing engineering teams with a strong track record of delivery in a platform, infrastructure, software development, or security engineering in an OT context • Experience hiring, growing, and retaining senior engineering talent, and building or evolving team operating models • You lead engineers, not just programs: you've owned the full stack of engineering management — hiring, performance, career growth, on-call culture, code review standards, postmortems, and operational excellence • Demonstrated track record of running production platforms with clear service objectives, on-call coverage, change management, and continuous-improvement loops in environments where availability, safety, and continuity of operations are non-negotiable • Experience driving multi-quarter roadmaps end-to-end — from problem framing through rollout, adoption, and steady-state operation — and delivering predictably against them • Comfortable making and defending pragmatic build-vs-buy decisions, owning vendor relationships and tool lifecycles, and knowing when to invest in custom engineering vs. lean on a platform • Demonstrated experience leading teams that operate OT and/or ICS security platforms at scale — such as Claroty XDome, Nozomi, Dragos, Armis, Tenable OT, or comparable OT asset visibility and exposure platforms • Hands-on familiarity with ISA/IEC 62443 (and adjacent frameworks such as NIST CSF, NIST SP 800-82) — enough to align the team's controls to them, without being the policy author • Experience deploying and operating endpoint security agents on OT-adjacent or constrained endpoints (e.g. EDR agents), including eligibility, compatibility testing, health monitoring, and exception handling • Experience building and operating findings pipelines that integrate security signal into enterprise remediation/governance platforms (e.g., shipping asset, vulnerability, secure-configuration, and endpoint findings to centralized dashboards with ownership attribution and SLAs) • Proven history of effectively utilizing a variety of security tools and technologies across diverse environments. The ideal candidate will not be limited to specific vendors or solutions but will possess the technical depth to comprehend and implement end-to-end solutions that align with the reference security architecture's requirements • Automation-first engineering mindset, with hands-on fluency in at least one general-purpose language (e.g., Python, Go) and a track record of building reusable platforms and paved roads instead of one-off scripts • Working knowledge of infrastructure as code (Terraform and equivalent) and CI/CD, and comfort integrating security tooling with modern engineering workflows • Strong understanding of distribution-center automation, industrial control systems, or vendor-managed OT environments • Experience with, or exposure to, adjacent OT-relevant disciplines — including OT network segmentation, vendor-access controls, and OT backup and recovery • Strong cross-functional partner: comfortable working closely with partners across Security Architecture, BISO, Network Security, OT infrastructure, and site teams to align requirements, rollout plans, and operational ownership • Effective at representing your team's work, risks, and tradeoffs to senior leadership, and equally effective explaining the same content to staff engineers in detail • Good understanding of security management workflows in large enterprise organizations and complex environments, and of the current OT threat landscape and the challenges most organizations are facing • Excellent written and verbal communication skills with strong presentation abilities • Demonstrated curiosity, bias for action, and a genuine builder's mindset — you want to ship the platform, not just describe it This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs. A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel. Application deadline is : 12/30/2026

Toronto · Full time

Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Meaningful work you'll be part of As a Senior Associate, Azure Data Engineer, you will play a key role in designing and building data solutions on Azure. You will work closely with project teams to deliver high-quality data pipelines, ensure data integrity, and support deployment activities. Responsibilities include but are not limited to: Act as an expert in Azure Data Platform, including Azure Data Factory (ADF), Azure Databricks, Synapse Analytics, Event Hub, Blob Storage. Design and build scalable data pipelines for ingestion, transformation, and curation/normalisation of data. Implement data quality checks, error handling, and monitoring frameworks to ensure reliability. Apply strong knowledge of data modelling and data warehouse concepts to optimise architecture. Troubleshoot issues during development and testing phases, ensuring smooth deployment of data pipelines. Collaborate with data scientists, analysts, and business stakeholders to deliver robust solutions. Support pre-sales activities and RFP responses with technical input when required. Contribute to knowledge sharing and best practices within the team. Experiences and skills you’ll use to solve Bachelor’s degree in Computer Science, Engineering, or related field Hands-on experience with Azure data services: Data Factory, Synapse, Databricks, Event Hub, Blob Storage. Proficiency in SQL and Python; strong understanding of ETL/ELT processes. Hands-on experience with Power BI Knowledge of data quality frameworks and error handling techniques. Strong analytical and problem-solving skills; effective communicator. Preferred certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203); Microsoft Certified: Fabric Analytics Engineer Associate; Databricks Certified Data Engineer Associate This role does not require professional engineering licensure and is not classified as a formal engineering position under provincial regulatory definitions. While individuals with a P.Eng designation are welcome to apply, the responsibilities of this role do not involve the practice of professional engineering as defined by applicable legislation PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders . The salary range for this position is $84,700 - $134,700 . The posted salary range represents the expected hiring range for PwC locations in major city centres . Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package. Why you’ll love PwC We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process. The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html). Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi. L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

Bangalore, India

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Product Manager for Data Integrations, you'll help GitLab's analytics and artificial intelligence (AI) agents see beyond the data held in GitLab. You'll decide which external systems connect to the Data Insights Platform and Orbit, which integrations come first, and how their data fits into shared models. Engineering teams plan work, track incidents, monitor production, and manage security findings across different tools. Your challenge is to bring that context together with GitLab's code, merge requests, pipelines, deployments, and vulnerabilities. You'll shape a consistent approach that gives customers a trustworthy picture they can query, report on, and use with agents, rather than another set of disconnected data sources. This role is based in Bangalore, India. You'll work from home and come to the Bangalore office when needed for business or team activities. You should be based in Bangalore or willing to relocate there. What you'll do Set integration priorities using evidence from customers, field teams, and other product managers to identify the biggest gaps in context. Shape how external data maps into GitLab's shared data models, including the extract, transform, and load (ETL) approach and the transformations needed to make sources work together. Define the customer problems and user groups each integration serves. Partner with engineering to agree on the intended experience, trade-offs, and delivery sequence. Translate product decisions into a clear backlog of epics and issues for engineering. Define telemetry and adoption signals to understand whether connected data helps customers answer new questions, and use those findings to guide priorities. Help shape integration pricing and packaging as the product area matures. Use AI coding agents and GitLab to explore data, prototype integrations, and document the intended experience. What you'll bring Product management experience, with the ability to connect customer needs to priorities and make trade-offs with incomplete information. Strong knowledge of the software development and operations (DevOps) ecosystem, including how planning, security, observability, and IT service management tools fit into engineering workflows. A working understanding of data integration, ETL, and data transformation, including how data from different systems maps to a common model. You don't need a background as a data engineer. Comfort using AI tools for prototyping and documentation as part of your product work. Clear communication about customer problems, close collaboration with engineering, and a habit of using data to evaluate adoption. Experience with integration products, data models, or value stream analytics is helpful, but isn't required. About the team We're part of GitLab's Core Data Products organization, which focuses on insights, analytics, and data-driven decision-making. You'll report to the Vice President of Product Management and join as our third product manager, focused on Data Integrations. You'll work alongside a Principal Product Manager responsible for the Data Insights Platform and dashboards, and a Product Manager focused on Orbit. GitLab is all-remote, with asynchronous collaboration across regions. Transparency, written communication, and clear decisions are central to how we work. This role has the Bangalore location and in-person requirements described above. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Bangalore, India

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Data Engineer at GitLab, you'll build, run, and maintain the pipelines and infrastructure that bring data from our enterprise applications, internal systems, and GitLab's software as a service (SaaS) platform into our data platform. Your work will power company reporting, data science, and artificial intelligence (AI) self-service. You'll own features end to end, from source integration to tested, monitored, documented data ready for use. You'll focus on keeping the platform reliable, secure, and cost-efficient as data volumes and AI usage grow, and making governed data ready for AI tools, agents, and Model Context Protocol (MCP)-based access. This is an AI-first role: you'll use AI coding agents every day while maintaining high standards for code review and testing. You'll report to the Director, Data Platform. What you’ll do Build, extend, and maintain extract, load, transform (ELT) pipelines from enterprise applications such as Salesforce, Zuora, Zendesk, and Marketo, internal systems, and the GitLab SaaS platform. Integrate data through application programming interfaces (APIs) and event sources such as Snowplow. Manage and maintain the infrastructure behind the platform, including SaaS tools such as Snowflake, Fivetran, and Monte Carlo, and self-managed services such as Airflow and Kubernetes. Write maintainable, well-tested, performant Python and Structured Query Language (SQL) code that meets our internal standards, and review GitLab team members' merge requests. Own day-to-day platform operations: triage and resolve failed pipelines, infrastructure issues, and GitLab team member requests. Use monitoring, service-level agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient. Partner with Analytics Engineers, Data Analysts, Data Scientists, Data Governance, and business partners so data lands in the shape they need for downstream use. Use AI coding agents such as Claude Code, OpenCode, GitLab Duo, or similar tools to speed up development, debugging, testing, and documentation without compromising review rigor. Apply role-based access control (RBAC) and masking policies to make governed data available to AI tools and agents. Handle data subject to Sarbanes-Oxley (SOX) controls, material nonpublic information (MNPI), and personal data safely. Ship medium-sized features independently in small, iterative merge requests, and document architecture and runbooks in the handbook. What You'll Bring Professional experience shipping production data pipelines in Python. Deep, hands-on SQL skills and experience with a cloud data warehouse; Snowflake is preferred. Hands-on experience with ELT or extract, transform, load (ETL) pipelines at scale, including incremental loads, schema changes, backfills, and API ingestion. Experience with orchestration tools such as Airflow, familiarity with dbt, and solid data modeling fundamentals, including Kimball dimensional modeling. Experience running and troubleshooting data infrastructure, with comfort using Git-based workflows, continuous integration and continuous delivery (CI/CD), and code review. Hands-on experience using AI coding tools in your daily work, with an understanding of where they help and where they fall short. Clear written communication, the ability to use GitLab, and comfort working asynchronously in a fully remote organization in line with GitLab's values. Preferred, not required: experience with Snowflake; Docker, Kubernetes, Google Cloud Platform (GCP), or Terraform; SaaS application APIs such as Salesforce, Zuora, or Zendesk; data observability tooling; or Snowflake administration. About the team The Data Platform team within Enterprise Data is responsible for a scalable, reliable and secure data platform for data analytics at GitLab. That includes managing and maintaining the infrastructure we use, both SaaS and self-managed, and building and maintaining the data pipelines that bring data into it. We make data reliable, secure and ready for analytics, data science and AI tools. As more questions go straight to AI tools and agents, the platform underneath has to be more reliable, better governed and more cost-efficient than ever. We're fully remote and globally distributed, and work asynchronously through issues, merge requests and the handbook. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .