MAHRS Data Engineer | Active Secret clearance

Role overview Build and maintain data infrastructure for a civilian human resources data program supporting a large public-sector organization. The work spans data hubs, ingestion pipelines, modeling, and Databricks operations, helping make trusted workforce data available for analytics, reporting, and integration.

Responsibilities - Support data architecture and strategy implementation, including conceptual models and hub development. - Plan and build data hubs, acquisition pipelines, datasets, and ingestion workflows. - Configure, document, and maintain Databricks clusters to meet enterprise standards. - Develop data structures, transformations, metadata, and schemas for integration and analytics. - Coordinate engineering plans and implementation details with architecture and stakeholder teams.

Requirements - Bachelor’s degree in a relevant field such as computing, engineering, mathematics, statistics, or business. - At least three years in data engineering, data architecture, or data hub/warehouse development. - Three years of experience with data management, enterprise repositories, modeling, quality, or mapping tools. - Experience building data pipelines, datasets, and ingestion processes; proficiency with Databricks. - Familiarity with enterprise data modeling, repository architecture, and metadata management. - U.S. citizenship, an active Secret clearance, and a current Network+, Security+, or higher DoD IA qualifying certification.

Benefits and work setup The position is remote within the United States. The listing describes flexible work arrangements, health and wellness coverage, retirement matching, paid leave and holidays, and support for professional development. Start is contingent on favorable completion of a required security background investigation.