Senior Data Engineer

Role overview Own the data pipeline that turns collected AI answers and referred orders into measurements customers can use. The role spans ingestion, data quality, identity resolution, and the analysis needed to determine whether changes have had an effect.

Responsibilities - Maintain the pipeline end to end, from incoming data through to customer-facing results. - Ensure joins, identity resolution, and other data handling remain accurate as volume grows. - Build measurement approaches that help assess the impact of product or process changes. - Surface uncertainty in results so that reported figures reflect the strength of the evidence.

Requirements - Experience building and operating production data pipelines that other people depend on. - Familiarity with experiment design and the statistical reasoning used to interpret results. - Careful judgment about data quality, including the ability to identify when a number is uncertain. - Working knowledge of PostgreSQL and TypeScript; strong engineering and analytical thinking matter more than a specific stack.