Software Engineer (Data Analytics & Engineering)

- 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 - Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, or equivalent experience - 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 - Minimum of 2 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment - 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

Join Pinterest as a Software Engineer II, specializing in Data Analytics and Engineering. In this role, you will enhance the quality, reliability, and speed of data science and product development. You will build scalable data foundations, analytics tools, and analysis…