Sr. Software Engineer, Data Analytics Engineering
Pinterest · San Francisco, CA, Seattle, WA, US; New York, NY,US; Remote;US
About this role
**About Pinterest** Millions of people around the world come to Pinterest to find creative ideas, dream about new possibilities, and plan for memories that last a lifetime. At Pinterest, our mission is to bring everyone the inspiration to create a life they love—powered by the people behind the product. Pinterest uses AI as a powerful partner to augment creativity and amplify impact. In interviews, we focus on how you think and how you explain your approach, including how you collaborate with AI. --- **Role: Sr. Software Engineer, Data Analytics Engineering** Improve the quality, reliability, and velocity of data science and product development at Pinterest. You’ll 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. --- **What you’ll do** - Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority work. - Build and improve scalable analysis pipelines and tooling to produce reliable insights at scale. - 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 and inform product improvements. - Use AI to accelerate analysis, prototyping, and iteration—while applying judgment and verification to ensure correctness, quality, and responsible use. --- **What we’re looking for** - Minimum of 4 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment. - Experience with SQL and Python (or R / comparable language) working with large, high-dimensional datasets, including nested data structures, window functions, query optimization, and data partitioning. - Experience building and operating data workflows (workflow orchestration, ETL/ELT pipelines, DAG dependencies across complex datasets). - Ability to translate open-ended partner needs into clear, impactful technical objectives and collaborate across Product, Engineering, Data Science, Data Engineering, and Business Intelligence. - 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 (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 and deliverables. - Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, Mathematics) or equivalent experience. --- **Relocation** - This position is not eligible for relocation assistance. --- **In-Office Requirement (PinFlex)** - In-person collaboration 1–2 times per month. - Role can be situated anywhere in the country. --- **Compensation (US based applicants only)** - Base salary range: **$183,040 – $320,320 USD** - Equity eligibility may apply. --- **Our Commitment to Inclusion** Pinterest is an equal opportunity employer. Employment decisions a
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