Senior Software Engineer, Data Products

What You’ll Actually Be Doing

• Join a small, highly collaborative team that works together to define questions for user research, experiment with internal data, and produce prototypes to validate ideas.
• Engage with internal and external users and participate in all phases of product development.
• Work primarily with Python, Databricks, and Postgres, with occasional SQL.
• Develop deep knowledge of the data in the catalogue and help set priorities for new data sources.
• Partner with a data scientist and another software engineer to try out data transformations that result in insightful and useful metrics.
• Work closely with platform teams as they build the pipelines, components, and APIs.
• Write requirements docs and proposals, and engage in synchronous collaboration with the teams building core data pipelines.

You’re a great fit

• Product-Minded Data Engineer – Solid, hands-on production experience with Python, SQL, and data transformation concepts. Comfortable working in Postgres and in modern data warehouses, ideally Databricks.
• Cross-Functional Collaborator – Thrive on cross-functional teams, with access to user research, and think critically about solving problems. Identify quick ways to test hypotheses and break apart complex projects into manageable pieces.
• Internal Platform Advocacy – Act as an internal customer for platform teams, providing high-quality feedback that shapes the roadmap and improves the overall product ecosystem.
• AI Native Engineer – Use AI tools effectively and eager to experiment with new ways of working. Use tools to evaluate changes, improving both workflows and measurement tools.

Humility, a performance-driven attitude, and a team-player approach are most important. Occasional travel may be required.