The Software Engineer II, Data Analytics and Engineering role at Pinterest focuses on enhancing the quality, reliability, and speed of data science and product development. The engineer will build scalable data foundations and analytics tools that facilitate self-service access to datasets and insights. This position involves collaboration with various teams to ensure effective data practices and the application of AI in engineering workflows. The ideal candidate will have a strong background in analytics engineering and a passion for leveraging data to drive product improvements.

• Minimum of 2 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.
• Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines and DAG dependencies.
• Demonstrated ability to use AI to improve speed and quality in day-to-day engineering workflows.
• Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, or equivalent experience.

• Develop and document practical instrumentation and experimentation standards.
• Build and improve scalable analysis pipelines and tooling that produce reliable insights.
• Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets.
• Identify data quality and discoverability gaps and advocate for targeted improvements.
• Maintain clear documentation for tools, datasets, metrics and operating practices.
• Partner with various teams to communicate actionable insights and inform product improvements.
• Use AI to accelerate analysis, prototyping and iteration while ensuring correctness and quality.