NexHealth
Staff Data Engineer
San Francisco, California, United States · Staff+
Sponsorship not specified$180k-$240kDetected 6 days ago
PythonSQLBigQuerySnowflakeRedshiftData EngineeringData ScienceEHR/EMRCommunication
About the role
- This is a hands-on, high-ownership role that combines architectural influence with deep execution.
- We need to expand our data capabilities for scale and improve our daily operations and enable self-service.
- With access to a rich and growing corpus of medical data, you will help NexHealth become a leader in data strategy, intelligence, and customer enablement.
Responsibilities
- 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
- 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
Requirements
- 7+ years of experience in data engineering or software engineering with a focus on building scalable, well-tested systems
Compensation
- The range listed is just the base salary component of NexHealth's total compensation package for employees.
- NexHealth Compensation Range
- $180,000 - $240,000 USD
Benefits
- Full Medical, Dental, and Vision (up to 100% covered)
- 401K and commuter benefits
- High-impact work that directly improves the healthcare experience for millions
Company info
- This work directly supports our mission to become the API for healthcare.
- It's easy to make decisions that make our lives simpler, but not the customers.
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This listing is sourced directly from NexHealth's careers page and normalized into a canonical job model.