Software Engineer (Data Analytics & Engineering)

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 pipelines, enabling trusted, self-service access to datasets and insights. You will also partner with various teams to communicate actionable insights and inform product improvements. The ideal candidate will have experience with SQL and Python, a relevant degree, and a strong track record in analytics engineering or data solutions.

• Construire des fondations de données évolutives, des outils d'analyse et des pipelines d'analyse qui permettent un accès autonome et fiable aux ensembles de données.
• Développer et documenter des normes pratiques d'instrumentation et d'expérimentation, puis collaborer avec les équipes d'ingénierie produit pour les appliquer au développement de produits prioritaires.
• Identifier les lacunes en matière de qualité et de découvrabilité des données, plaider en faveur d'améliorations ciblées et contribuer à des pratiques de données fiables et bien gouvernées.

• 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