Sr. Software Engineer, Data Analytics Engineering

• 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 to make team data assets easier to use. • 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.

• Minimum of 4 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 Product, Engineering, Data Science, Data Engineering and Business Intelligence 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: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables. • Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, or equivalent experience.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We’re looking for a Sr. Software Engineer , Data Analytics and Engineering to 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 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 to make team data assets easier to use. • 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 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 Product, Engineering, Data Science, Data Engineering and Business Intelligence 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: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables. • Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, or equivalent experience. 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: • PinFlex: 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 per month and therefore can be situated anywhere in the country. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. 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 here. US based applicants only $183,040—$320,320 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. 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