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Applications close on November 28, 2026. Apply before then to be considered.

Staff Software, Engineering – Analytics Engineering, Core Data Science

San Francisco, CA, US; Remote, US 14 days ago

AI overview

This role focuses on enhancing data science quality and speed by building data foundations and tooling. The Staff Software Engineer will lead a team, develop best practices for instrumentation and experimentation, and build AI tools and analysis pipelines. Responsibilities include enabling self-service for datasets and insights, and driving data quality strategies.

We are looking for a Staff Software Engineer to help improve the quality and velocity of data science at Pinterest. You will shape the future of the people-facing and business-facing products we build by creating rock-solid data foundations and tooling, and by leading a high-performance team that partners closely with our Core Data Science organization.

What you'll do:

Lead by example, and mentor a diverse team of analytics engineers with an inclusive culture.
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams.
Build and prototype AI tools and analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed.
Use AI to accelerate analysis, prototyping, and iteration—drafting pipelines, exploring approaches, and automating repeatable documentation and QA—while applying judgment and verification to ensure correctness and quality.
Work closely with Data Scientists and Engineers to build tools and processes that enable self-service of key datasets, insights, and metric investigations.
Contribute to comprehensive documentation of tools and datasets, and drive the strategy for better data quality and data democratization within Pinterest.
Work cross-functionally to build and communicate key insights, collaborating with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.

What we're looking for:

6+ years of experience working with data in a fast-paced, data-driven environment.
Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R), including nested data structure manipulation, windowing functions, query optimization, and data partitioning techniques.
Experience conducting workflow orchestration and ETL/ELT with huge, complicated datasets and handling DAG data dependencies.
Consistent track record of supplying analytics solutions to existing teams, with the ability to take open-ended goals and scope them into defined, impactful objectives.
A team player able to partner with cross-functional leadership to quickly turn insights into actions, and an accountable operator who proactively identifies project opportunities amid competing priorities.
Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow, with a strong track record of critical evaluation and verification of AI-assisted work (testing, source-checking, data validation, peer review).
High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
Bachelor's, Master's, or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, or equivalent experience.
Desired but not required:
- Experience in automation, anomaly detection, or infrastructure/workflow optimization.
- Experience building internal tooling to maximize engineering velocity.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
This role will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country.

US based applicants only

$177,185—$364,795 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

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