Healthcare Data Engineer

Eightelevengroup; Murray (UT); Hybrid; USD 90,000 - 117,000; Part time

Job summary

Medasource is seeking a Data Engineer to join a mission-driven healthcare analytics team supporting a nonprofit health insurer. You will design data models and pipelines in Azure Databricks, powering dashboards and provider performance views, with a focus on risk adjustment, quality metrics, and medical expense management.

This fully remote contract (up to 12 months) requires expert SQL, PySpark, and Delta Lake architecture, and collaboration with BI developers and analytics leaders.

Qualifications

• 7+ years as a Data Engineer or similar with large, complex datasets.
• 3+ years hands-on with Azure Databricks incl. production PySpark & Spark SQL.
• Expertise with Delta Lake and bronze/silver/gold medallion architecture.
• Strong SQL and dimensional data modeling for BI consumption.
• Experience with Databricks Workflows and/or Azure Data Factory.
• Healthcare payer data experience incl. claims, encounters, MLR, cost-of-care, Stars/HEDIS, risk adjustment.
• Ability to communicate technical concepts to non-technical stakeholders.

Responsibilities

• Design and implement data models and pipelines in Azure Databricks for healthcare analytics.
• Develop and maintain ETL/ELT processes prioritizing data quality and lineage.
• Build and optimize Delta Lake medallion architecture for scalable BI data.
• Collaborate with BI developers and analytics leaders to deliver JOC dashboards and provider views.
• Integrate payer data including claims, encounters, MLR, cost-of-care and quality metrics.
• Architect analytic models and hierarchies for executive and provider reporting.
• Orchestrate data workflows with Databricks Workflows and/or Azure Data Factory.

Skills

Advanced SQL

PySpark

Spark SQL

Education

Bachelor's degree in CS/IS/Data/Analytics or related

Tools

Azure Databricks

Delta Lake

Databricks Workflows

Azure Data Factory

Unity Catalog

dbt

Git CI/CD

Epic Caboodle/Clarity

Job description

Data Engineer - Healthcare Analytics

Remote

This is a Remote role.

Compensation: $65 - $85 per hour

Contract Length: Up to 12 months

Hours: 8am-5pm MST, M-F

Start Date: ASAP, 10/5/2026

ABOUT THE ROLE

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 (Stars and HEDIS), 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 Joint Operating Committee (JOC) 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.

WHAT YOU'LL DO

• 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 (bronze/silver/gold layers) for scalable, high-performance data solutions
• Collaborate daily with BI developers, analytics leaders, and stakeholders to deliver executive-level Joint Operating Committee (JOC) dashboards and provider-facing performance views
• Integrate and analyze healthcare payer data, including claims, encounter, medical expense, MLR, cost-of-care, quality metrics (Stars, HEDIS), and risk adjustment (Medicare Advantage HCC, HHS-HCC)
• Design analytic models and hierarchies supporting both executive-level and provider-level reporting and drill-down capabilities
• Orchestrate data workflows using Databricks Workflows and/or Azure Data Factory
• Communicate technical concepts and modeling decisions clearly to non-technical analytics leaders and stakeholders
• Adapt to changing requirements, participate in daily standups, and engage in direct client interaction in a fast-paced, iterative environment
• Leverage advanced SQL, Spark SQL, and PySpark for complex data engineering tasks

WHAT YOU BRING

• 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 (beyond notebook-only or SQL-only usage)
• Expertise with Delta Lake and medallion (bronze/silver/gold) architecture
• Advanced SQL and dimensional data modeling skills; able to design gold/serving layers for direct BI consumption
• Experience orchestrating data workflows with Databricks Workflows and/or Azure Data Factory
• Proven healthcare payer data experience, including claims, encounter data, medical expense, MLR, cost-of-care, quality metrics (Stars, HEDIS), and risk adjustment (Medicare Advantage HCC, HHS-HCC)
• Experience designing analytic models and hierarchies for both executive and provider-level reporting and drill-down
• Robust ETL/ELT pipeline development with a focus on data quality, consistency, lineage, and performance
• Comfortable with changing requirements, daily standups, and direct client interaction
• Strong communication skills; able to explain modeling decisions to non-technical stakeholders
• Bachelor's degree in Computer Science, Information Systems, Data/Analytics, Statistics, or related field, or equivalent experience
• Preferred: Databricks (Data Engineer Associate or Professional) and Microsoft Azure data/analytics certifications
• Preferred: Experience with Unity Catalog, dbt, and Git-based CI/CD for data
• Preferred: Experience with Epic-sourced data (Caboodle, Clarity) or other clinical data platforms
• Preferred: Prior value-based care or population health analytics experience
• Preferred: Familiarity with Power BI and/or Tableau for data modeling and performance optimization
• Preferred: Experience building datasets for both internal payer teams and external provider organizations from a shared model
• Preferred: Exposure to JOC or executive-level healthcare performance reporting
• Preferred: Experience with enterprise measure engines (Inovalon, Cotiviti, Optum, Edifecs, Milliman MedInsight) or custom measure logic

Healthcare Data Engineer Murray, UtahFor over 16 years, Medasource has established and maintained relationships that are designed to meet your IT staffing needs. Whether it’s contract, contract-to-hire, or permanent placement work, we customise our search based upon your company’s unique initiatives, culture and technologies. With our national team of recruiters placed at 21 major hubs around the nation Medasource finds the people best-suited for your business. When you work with us, we work with you. That’s the Medasource promise.Medasource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

Benefits & Perks:

Medasource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

Pay Disclaimer:

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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