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Tech Stack
Tools & technologiesAirflowBigQueryCloudGoPythonSQL
About the role
Key responsibilities & impact- Own and operate our data warehouse, pipelines, and transformation layer
- Design, build, and maintain scalable, reliable data pipelines that ingest data from across our platform and third-party sources, ensuring data is always available and trustworthy for downstream consumers
- Partner with data scientists and analysts to deliver clean, well-documented datasets and optimize query performance so teams spend less time wrangling data and more time generating insights
- Incrementally improve and modernize our existing data systems - you won't build everything from scratch, but you'll know how to assess what we have, prioritize what matters, and migrate thoughtfully
- Implement data quality monitoring, alerting, and documentation practices that build trust across the organization
Requirements
What you’ll need- 4+ years of professional experience in data engineering, ideally at a high-growth startup or fast-moving team within a larger organization
- Hands-on experience with the modern data stack - proficiency with BigQuery (or a comparable cloud warehouse), dbt, and an orchestration tool like Dagster or Airflow
- Strong SQL skills and fluency in Golang, Python, or another common Data Engineering language
- Track record of improving or modernizing data systems iteratively - you're comfortable inheriting legacy infrastructure and systems and making them progressively better
- Strong communication and collaboration skills - able to work fluidly across both technical and business-oriented teams
Benefits
Comp & perks- Medical and dental insurance with 100% of employee premiums covered
- 15 vacation days & ~20 paid holidays each year (including two weeks at end-of-year)
- Free membership to OneMedical
- $600/year reimbursable stipend for internet service
- $1,000 reimbursable stipend for education and training outside of work
- Up to $1,200/year student loan repayment assistance
- 401(k) and optional HSA/FSA
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringSQLGolangPythonBigQuerydbtDagsterAirflowdata quality monitoringdata transformation
Soft Skills
communicationcollaborationproblem-solvingprioritizationdocumentation
