Software Engineer II, Data Analytics & Engineering
Pinterest, San Francisco, CA +2
What you will 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.