Join a mission-driven healthcare analytics team supporting a nonprofit health insurance provider serving over 1 million members across the Mountain West region. As a Data Engineer, you will play a key role in building the data foundation for value-based care initiatives, including risk adjustment, quality metrics, and medical expense management. This contract position is fully remote and offers the opportunity to design and implement data models and pipelines in Azure Databricks, powering executive-level dashboards and provider-facing performance views. You will collaborate closely with BI developers and analytics leaders in a fast-paced, highly iterative environment focused on delivering actionable insights for both internal and external stakeholders.

The Role

• Design and implement robust data models and pipelines in Azure Databricks to support healthcare analytics and value-based care initiatives
• Develop and maintain ETL/ELT processes with a focus on data quality, consistency, lineage, and performance for BI and analytics consumption
• Build and optimize Delta Lake medallion architecture for scalable, high-performance data solutions
• Integrate and analyze healthcare payer data, including claims, encounter, medical expense, quality metrics, and risk adjustment
• Orchestrate data workflows using Databricks Workflows and/or Azure Data Factory

What You'll Need

• 7+ years as a Data Engineer or similar, working with large, complex datasets
• 3+ years hands-on experience with Azure Databricks, including production-level PySpark and Spark SQL
• Expertise with Delta Lake and medallion architecture
• Advanced SQL and dimensional data modeling skills
• Proven healthcare payer data experience, including claims, encounter data, medical expense, quality metrics, and risk adjustment

What's On Offer

• Compensation of $65 - $85 per hour
• Contract length up to 12 months
• Fully remote position
• Opportunity to work on mission-driven healthcare analytics

Apply via Haystack today!

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