Lead Data Engineer
Lead the development and maintenance of scalable data pipelines, warehouse, and transformation layer using modern data stack. Collaborate with data scientists and analysts to ensure clean, reliable data for insights in a high-growth startup.
About the job
What You'll Do
- 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
Qualifications
Required:
- 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
Bonus / Nice-to-Have:
- Experience transitioning data infrastructure from an outsourced or contractor model to an in-house team
- Familiarity with data observability tools
- Experience supporting or collaborating with a data science function, including ML feature pipelines
Salary and Benefits
We anticipate the base salary band for this role will be between $174,000 and $230,000 in addition to equity and benefits.
- 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
Skills
BigQuery, dbt, SQL, Python, Go, Dagster, Airflow, Data Pipelines, Data Warehouse, Data Quality Monitoring
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