Analytics Engineer, Data Platform

• Own a scoped domain of dbt models: design, build, test, ship, and monitor them, with a clear point of view on how they should be structured
• Turn ambiguous asks from Marketing and Product into scoped work, and talk openly about tradeoffs when the ask and the timeline don’t fit together
• 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
• Coach engineers earlier in their careers on the team, in code review and day to day, * Marketing, growth, or lifecycle data: events, attribution, experimentation, or tools like Braze, Iterable, or Segment
• Dagster, Airflow, or another modern orchestrator
• CI/CD for data, data governance, or cost-conscious warehouse design
• Supporting ML workflows, like building features or watching model inputs
• Making warehouse data usable by AI tooling; semantic layers, data contracts, or documentation that agents and humans can both read

Retail, Sustainability, Data Modeling, Concrete, Marketing, Testing, Debugging Skills, Coaching, Code Reviews, Data Analysis, * You’ve spent around 3-5 years in data or analytics engineering, or you’ve done comparable work under a different title

• You’re fluent in SQL, comfortable with window functions and complex joins, and you think about query performance without being asked
• You’ve owned dbt models in a version-controlled repo; conventions, tests, CI, and the occasional cleanup of someone else’s tangle
• You know Python well enough to work in orchestration, transformations, and tests
• You have an opinion on modeling tradeoffs (dimensional vs. one big table) and can explain which you’d pick and why
• You can explain a technical decision to a marketer and an engineer in the same meeting, and adjust how you say it for each
• You’ve worked in Snowflake, or a comparable warehouse you could translate from

• 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
• Unlimited PTO + 10 paid federal holidays + our annual, week-long Winter Break
• Flexible work environment
• Lunch reimbursement for in-office employees
• Employee Resource Groups
• Learning and Development stipend
• Transparent culture
• Amazing mission!