Software Engineer II, Data Analytics & Engineering

Responsibilities

• 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.

Languages