Data Engineer 3

Position Summary

The Data Engineer III will design, develop, and maintain scalable data pipelines and analytics workflows supporting CMS and Medicaid data processing. This role will leverage cloud-based data analytics platforms, specifically Databricks, to build reliable, efficient, and secure data solutions that support analytics, reporting, and operational needs.

Key Responsibilities

• 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.

Required Qualifications

• Experience working with CMS systems and/or Medicaid data.
• Experience with cloud-based data analytics platforms, specifically Databricks.
• Strong programming experience in Python, PySpark, and SQL.
• Experience building distributed data processing pipelines.
• Experience working with large healthcare datasets.
• Strong understanding of ETL/ELT pipeline development.
• US work authorization required and the ability to obtain and maintain a Public Trust clearance, which may include fingerprinting.

Preferred Qualifications

• Experience implementing data lake or lakehouse architectures.
• Familiarity with healthcare interoperability standards.