Data Engineer (Senior Consultant)
Core
Building and maintaining modern, scalable data pipelines and lakehouse architectures for secure, compliant processing of federal health data.
Role type
Senior Data Engineer (Consultant)
Builds
End-to-end ETL/ELT pipelines and medallion (bronze, silver, gold) lakehouse architectures
Domain
Federal government / Healthcare data modernization
Deliverable
production ML models | product features
Required skills
Python, SQL, Databricks, ETL/ELT pipeline development, medallion/lakehouse architecture design, relational and distributed data systems, data modeling, CI/CD practices, Git-based workflows
Preferred skills
Healthcare data experience (claims, eligibility, clinical), CMS/HHS/federal health program support, state government data programs, data governance and privacy frameworks (HIPAA), data modernization or cloud migration initiatives
Technologies
Databricks, Git, Jira, Confluence
Responsibilities
Design, develop, and maintain end-to-end ETL/ELT pipelines; Implement and manage medallion data architectures; Build scalable data pipelines for large, complex datasets; Collaborate with cross-functional teams to translate business requirements into technical solutions; Ensure data quality, lineage, and governance through validation, monitoring, and documentation; Optimize performance and efficiency of data processing workflows in cloud-based environments; Support data integration and modernization efforts aligned with CMS EIPM objectives
Seniority
Senior, hands-on IC