Analytics Engineer, Data Platform

📋 Description

• Own a scoped domain of dbt models: design, build, test, ship, and monitor them, with a clear point
• Turn ambiguous asks from Marketing and Product into scoped work, and talk openly about tradeoffs
• Write the design doc for the features you own and break the work into pieces teammates can pick up
• Add monitoring and alerting to your models so your team catches problems before stakeholders do
• Take your turn on our support rotation, debug what breaks, and prevent the repeat
• Leave behind runbooks, schema docs, and diagrams that make your work easy for the next person to own

🎯 Requirements

• Around 3–5 years in data or analytics engineering, or comparable work under a different title
• Fluent in SQL, comfortable with window functions and complex joins, and think about query
• Owned dbt models in a version-controlled repo; conventions, tests, CI, and cleanup of others' code
• Proficient in Python for orchestration, transformations, and tests
• Opinion on modeling tradeoffs (dimensional vs. one big table) and can explain which to pick and why
• Can explain technical decisions to both marketers and engineers in the same meeting

🎁 Benefits

• Medical, dental, and vision coverage starting on Day 1
• Equity (ISOs)
• 401(k) program
• Family planning programs + paid parental leave
• Physical fitness and wellness memberships
• Emotional and mental health support programs