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Gainwell Technologies LLC
Senior Power BI & Databricks ETL Engineer
Career Insights for Healthcare Analyst
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What they do
A Healthcare Analyst is responsible for compiling important medical data through the use of computer-based applications, within a health care organization or hospital. Responsible for gathering, compiling, modeling, validating, and analyzing data needed by the organization.
$92,623 / year median in the U.S.
+1% projected growth
Job Description
Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary
We are seeking a highly skilled Senior Power BI & Databricks ETL Engineer with deep experience working with Medicaid claims, eligibility, provider, and encounter data. This role will design, build, and maintain scalable data pipelines and analytics solutions that support state Medicaid programs, regulatory reporting, and operational performance monitoring. The ideal candidate combines strong technical expertise in Databricks, ETL/ELT development, and Power BI with a solid understanding of Medicaid data structures, program rules, and state‑specific reporting requirements.
Your role in our mission Design, develop, and maintain Databricks ETL/ELT pipelines to process Medicaid claims, eligibility, encounters, provider files, and supplemental datasets. Ingest data from MMIS systems, state data warehouses, managed care organizations, and other Medicaid program data sources. Implement transformation, validation, and enrichment logic aligned to Medicaid data quality standards, including handling of T‑MSIS, HIPAA‑compliant formats, and state‑specific coding rules. Optimize Spark jobs for performance and cost efficiency across large Medicaid datasets. Build and maintain Data Lake models that support auditability, lineage, and compliance with state and federal Medicaid reporting requirements. Develop Power BI semantic models, dashboards, and reports that support Medicaid operations, including claims utilization, eligibility trends, provider network analytics, and program integrity monitoring. Implement advanced DAX measures and KPIs tailored to Medicaid program metrics (e.g., enrollment churn, claims lag, encounter completeness). Apply dimensional modeling concepts to Medicaid analytics use cases such as service utilization, cost of care, and population segmentation. Collaborate with Medicaid program staff, policy teams, actuaries, and data governance groups to translate program requirements into technical solutions. Maintain detailed documentation including data mappings, transformation logic, and Medicaid‑specific business rules. Support multi‑environment deployment activities across
Your role in our mission Design, develop, and maintain Databricks ETL/ELT pipelines to process Medicaid claims, eligibility, encounters, provider files, and supplemental datasets. Ingest data from MMIS systems, state data warehouses, managed care organizations, and other Medicaid program data sources. Implement transformation, validation, and enrichment logic aligned to Medicaid data quality standards, including handling of T‑MSIS, HIPAA‑compliant formats, and state‑specific coding rules. Optimize Spark jobs for performance and cost efficiency across large Medicaid datasets. Build and maintain Data Lake models that support auditability, lineage, and compliance with state and federal Medicaid reporting requirements. Develop Power BI semantic models, dashboards, and reports that support Medicaid operations, including claims utilization, eligibility trends, provider network analytics, and program integrity monitoring. Implement advanced DAX measures and KPIs tailored to Medicaid program metrics (e.g., enrollment churn, claims lag, encounter completeness). Apply dimensional modeling concepts to Medicaid analytics use cases such as service utilization, cost of care, and population segmentation. Collaborate with Medicaid program staff, policy teams, actuaries, and data governance groups to translate program requirements into technical solutions. Maintain detailed documentation including data mappings, transformation logic, and Medicaid‑specific business rules. Support multi‑environment deployment activities across