Software Engineer (Data Analytics & Engineering)

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.

Responsibilities

• 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.
• 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
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables

Requirements

• The ideal candidate will have experience with SQL and Python, a relevant degree, and a strong track record in analytics engineering or data solutions.
• 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
• 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

• Strong track record of critically evaluating and verifying AI-assisted work through testing, data validation, source-checking or peer review
• Experience translating open-ended partner needs into clear, impactful technical objectives and collaborating across Product, Engineering, Data Science, Data Engineering and Business Intelligence teams
• USD 123,696 - 254,667