Staff Data Engineer
Staff Data Engineer owns and evolves data platforms including warehouse architecture, pipelines, and modeling to enable scalable analytics and self-service insights. Requires 7+ years experience, advanced SQL/Python, and expertise with managed data warehouses like Snowflake.
About the job
What You’ll Do
Own the Data Platform
- Lead the architectural evolution of our data warehouse, modeling layer, and pipeline structure
- Refactor core data models to support fast, self-serve access and shared understanding across teams
- Build reliable ingestion and transformation systems that abstract over messy or fragmented inputs
- Take responsibility for the structure, reliability, and extensibility of our warehouse and modeling layers
- Replace brittle vendor-based pipelines with scalable, maintainable ingestion and transformation infrastructure
- Build in observability, alerting, and validation to ensure the platform can scale with confidence
Drive Strategic Data Initiatives
- Collaborate closely with Staff-level analysts, engineers, and data consumers to unblock their workflows and enable data insights.
- Partner with software engineers to anticipate and manage upstream schema changes and database shifts
- Define and enforce clear data contracts and interface boundaries
- Shape how the company can eventually leverage data science, customer segmentation, and industry-wide insights
What You’ll Bring
- 7+ years of experience in data engineering or software engineering with a focus on building scalable, well-tested systems
- Advanced fluency in SQL and Python with strong instincts around modular modeling, optimization, and abstraction
- Experience building on top of a modern managed data warehouse such as Snowflake, BigQuery, or Redshift
- Proven history of taking ambiguous, fragmented data systems and turning them into reliable, documented, high-trust platforms
- Ability to operate independently at a Staff level with a high sense of ownership
- A background in strong engineering cultures or top-tier product environments where quality, velocity, and ownership coexist
- Passion for clarity, simplicity, and helping teams move faster without cutting corners
Compensation
$177,000—$226,000 USD (base salary)
Benefits
- Full Medical, Dental, and Vision (up to 100% covered)
- 401K and commuter benefits
- Flexible PTO
- High-impact work that directly improves the healthcare experience for millions
Skills
SQL, Python, Snowflake, BigQuery, Redshift, Data Warehousing, Data Pipelines, Data Modeling, ETL, Observability
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