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Tech Stack
Tools & technologiesCloudETLPySparkPythonSQL
About the role
Key responsibilities & impact- Design and implement scalable data pipelines for ingesting, transforming, and processing healthcare data.
- Develop ETL/ELT workflows supporting CMS and Medicaid data integration.
- Build and maintain data processing workflows using Databricks and distributed computing technologies.
- Develop data transformation and analytics solutions using Python, PySpark, and SQL.
- Ensure data quality, consistency, and governance across systems.
- Optimize performance of data pipelines and large-scale data processing workloads.
- Collaborate with analytics, engineering, and DevOps teams to support data platform operations.
- Maintain documentation for data architecture, data models, and pipeline processes.
- Support compliance with healthcare data security and privacy requirements.
Requirements
What you’ll need- Experience working with CMS systems and/or Medicaid data.
- Experience with cloud-based data analytics platforms, specifically Databricks.
- Strong programming experience in: Python, PySpark, SQL.
- Experience building distributed data processing pipelines.
- Experience working with large healthcare datasets.
- Strong understanding of ETL/ELT pipeline development.
- This role requires the ability to obtain and maintain a Public Trust clearance, which may include fingerprinting.
Benefits
Comp & perks- Creating a more equitable world starts from within – we look after people around the world, and we will do the same for you.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
PythonPySparkSQLETLELTdata pipelinesdata transformationdata analyticsdata qualitydata governance
Certifications
Public Trust clearance
