Lead - Data Engineer
Astrana Health · United States · US
Software Engineering
Remote
Not yet analysed
Demand82
Career growth78
Healthcare fit38
Remote potential55
Salary band
USD 170k – 240k
5-year outlook
Strong long-term salary outlook for experienced data engineers in healthcare technology, especially with Databricks, Spark, and cloud data platform skills. Lead-level compensation should remain competitive, but exact figures vary by market and are not stated.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
full-time
Date found
2026-10-23
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- Rate period
- Annual
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering only if you are a clinician with substantial hands-on data engineering experience in Spark, Databricks, SQL, and cloud platforms and want a healthcare data platform lead role. Typical clinicians without that technical background are unlikely to be competitive.
Who should apply
Clinician-engineers, physician/nurse/pharmacist informaticists with production data engineering experience, and healthcare data engineers with Databricks/Spark/SQL and technical leadership exposure.
CV angle
Reframe clinical and healthcare experience around the data domains you understand—claims, encounters, membership, providers—and quantify any real SQL/Python/PySpark pipelines, data modeling, governance, CI/CD, and mentoring work. Do not claim engineering experience you do not have; instead bridge clinical workflow knowledge to healthcare data platform requirements.
Skills to highlight
- Databricks
- Apache Spark/PySpark
- SQL
- Healthcare data modeling for claims, encounters, membership, and providers
- Delta Lake/Lakehouse
- Data governance and Unity Catalog
- CI/CD and Git
- Technical leadership and mentoring
Role summary
A hands-on lead data engineering role at a healthcare organization, responsible for building and operating an Azure Databricks-based enterprise data platform, integrating healthcare data sources, developing unified data models, and mentoring engineers.
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