About Us:
At RELI Group, our work is grounded in purpose. We partner with government agencies to solve complex challenges, improve public health, strengthen national security, and make government services more effective and efficient. Our team of over 500 professionals brings deep expertise and a shared commitment to delivering meaningful outcomes. Behind every solution is a group of experts who care deeply about impact—whether we’re supporting data-driven decisions, modernizing systems or safeguarding critical programs.
RELI Group is seeking a highly skilled Data Engineer to support the Centers for Medicare & Medicaid Services (CMS). This role will play a critical part in modernization, building and maintaining scalable, high-performing data pipelines that drive enterprise analytics, reporting, and operational decision-making. The Data Engineer will focus on developing data ingestion, transformation, and processing pipelines across AWS and Databricks-based environments, with an emphasis on Delta Lake lakehouse architectures.
Qualifications- Design, build, and maintain robust ETL/ELT pipelines that ingest, transform, and curate data for analytics and reporting solutions.
- Develop efficient data processing workflows using Python, SQL, and PySpark within Databricks and Delta Lake environments.
- Implement scalable data lakehouse architectures supporting complex healthcare datasets and enterprise analytics.
- Collaborate with Data Architects, Automation Test Engineers, QA Analysts, and Business Analysts to define data transformation logic and data integration standards.
- Build reusable code and frameworks for data ingestion, data quality validation, and exception handling.
- Optimize data processing jobs for performance, reliability, scalability, and cost efficiency in AWS and Databricks cloud platforms.
- Participate in schema design, data modeling, and version-controlled data pipeline development.
- Contribute to data governance, metadata management, and data lineage documentation to support audit, compliance, and FISMA reporting requirements.
- Partner with DevOps teams to integrate data pipelines into CI/CD workflows using GitHub, Databricks Repos, and related tools.
- Perform root cause analysis and resolution of data issues across staging, integration, and production environments.
EEO Employer:
RELI Group is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.
HUBZone:
We encourage all candidates who live in a HUBZone to apply. You can check to see if your address is located in a HUBZone by accessing the SBA HUBZone Map.
The annual salary range for this position is $62,625 to $91,850. Actual compensation will depend on a range of factors, including but not limited to the individual’s skills, experience, qualifications, certifications, location, other business and organizational needs, and applicable employment laws. The estimate displayed represents the typical salary range for this position and is just one component of the total compensation package for employees. RELI Group provides a variety of additional benefits to its employees. For additional details on the benefits that RELI Group offers click here
Skills Required
- Design, build, and maintain ETL/ELT pipelines for analytics and reporting.
- Develop data processing workflows using Python, SQL, and PySpark within Databricks and Delta Lake.
- Implement scalable data lakehouse architectures for complex healthcare datasets.
- Collaborate with Data Architects, QA, Automation Test Engineers, and Business Analysts on transformation logic and integration standards.
- Build reusable code and frameworks for data ingestion, data quality validation, and exception handling.
- Optimize data processing jobs for performance, reliability, scalability, and cost efficiency in AWS and Databricks.
- Participate in schema design, data modeling, and version-controlled pipeline development.
- Contribute to data governance, metadata management, and data lineage documentation to support audit, compliance, and FISMA reporting.
- Integrate data pipelines into CI/CD workflows using GitHub, Databricks Repos, and related tools with DevOps teams.
- Perform root cause analysis and resolution of data issues across staging, integration, and production environments.
What We Do
RELI Group is an 8(a), HUBZone Small Business committed to improving the livelihood of the American public through the programs we support across the federal government.
