Staff Software, Engineering – Analytics Engineering, Core Data Science

Pinterest is a visual discovery platform where millions of people find creative ideas and plan for memories. The company's mission is to bring everyone the inspiration to create a life they love. At Pinterest, AI is a powerful partner that augments creativity and amplifies impact.

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 people-facing and business-facing products by creating rock-solid data foundations and tooling, and by leading a high-performance team that partners closely with our Core Data Science organization.

• 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.
• 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.

• 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.

• Experience in automation, anomaly detection, or infrastructure/workflow optimization.
• Experience building internal tooling to maximize engineering velocity.

Base salary range: $177,185—$364,795 USD. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found on the Pinterest careers site.

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. #LI-REMOTE #LI-AG8. Visit our PinFlex page to learn more about our working model. This position is not eligible for relocation assistance.

Apply via the Pinterest careers page for this job ID.