Software Engineer II, Data Analytics & Engineering

Pinterest is a platform where millions of people find creative ideas and plan for memories. The mission is to bring everyone the inspiration to create a life they love.

We are looking for a Software Engineer II, Data Analytics and Engineering to improve the quality, reliability, and velocity of data science and product development at Pinterest. You will build scalable data foundations, analytics tooling, and analysis pipelines that enable trusted, self-service access to datasets, insights, and metric investigations across cross-functional teams.

• Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work.
• Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale and strengthen understanding of key data structures and metrics.
• Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets, insights, and metric definitions.
• Identify data quality and discoverability gaps, advocate for targeted improvements, and contribute to reliable, well-governed data practices.
• Maintain clear documentation for tools, datasets, metrics, and operating practices.
• Partner with Product, Engineering, Data Science, Data Engineering, and Business Intelligence teams to communicate actionable insights.
• Use AI to accelerate analysis, prototyping, and iteration, while applying judgment and verification to ensure correctness and quality.

• Minimum of 2 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment.
• Experience using SQL and Python, R, or a comparable programming language to work with large, high-dimensional datasets, including nested data structures, window functions, query optimization, and data partitioning.
• Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines, and DAG dependencies across complex datasets.
• Experience translating open-ended partner needs into clear, impactful technical objectives and collaborating across teams.
• Demonstrated ability to use AI to improve speed and quality in day-to-day engineering workflows.
• Strong track record of critically evaluating and verifying AI-assisted work through testing, data validation, source-checking, or peer review.
• High integrity and ownership: protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions.
• Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics, or equivalent experience.

Base salary range: $123,696—$254,667 USD. The position is also eligible for equity. Final salary is based on factors including location, travel, relevant prior experience, or particular skills and expertise.

This role will need to be in the office for in-person collaboration 1–2 times per month and can be situated anywhere in the country. This position is not eligible for relocation assistance.