Senior Federal Healthcare Data Engineer

Metasys Technologies is seeking a highly specialized Senior Data Engineer to support a long-term federal healthcare technology program under the Defense Health Agency (DHA). The role focuses on building and maintaining cloud-based data pipelines and ensuring interoperability of healthcare data systems in compliance with federal standards.

Responsibilities:

• Build, optimize, and maintain robust, scalable cloud-based data pipelines, ETL/ELT workflows, and data platforms within secure environments
• Architect and engineer direct interfaces using FHIR R4 and HL7 v2/v3 standards in a production environment to link disparate clinical, readiness, and administrative systems
• Support a major health-related initiative aimed at modernizing how medical readiness data connects to electronic health records (MHS GENESIS) and provider workflows
• Execute within formal Agile/Scrum environments, managing sprint execution, backlog updates, and delivery tracking using structured management tools
• Maintain strong documentation discipline for all pipelines and engineering processes, ensuring alignment with strict federal review cycles, approvals, and auditability requirements

Requirements:

• U.S. Citizenship: Must be confirmed and explicitly stated on the resume. No exceptions
• Conferred Technical Degree: Minimum of a Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related engineering/technical field. Degree must be fully awarded (no 'coursework completed' or ambiguous situations). International degrees require confirmed U.S. equivalency
• 8+ Years of Total Professional Experience
• Federal Healthcare IT Program Experience: Proven experience working as a contractor or government employee inside a federal healthcare IT program. Target programs include: Defense Health Agency (DHA), Military Health System (MHS) / MHS GENESIS, VA Electronic Health Record Modernization (EHRM), Program Executive Office Defense Health Management Systems (PEO DHMS), CMS, CDC, or other federal health agencies with EHR/clinical data scope
• Hands-on FHIR & HL7 Expertise: Demonstrated production experience building, engineering, or working directly with FHIR R4 and/or HL7 v2/v3 interfaces. (Listing these as passive skills without project descriptions will not pass screening)
• 3+ Years of Cloud Data Engineering: Hands-on experience developing and maintaining pipelines using tools the client values: Databricks, Snowflake, Azure Data Factory, AWS Glue, Spark/PySpark, Python, and SQL
• 4+ Years of Agile Delivery: Experience in formal Agile/Scrum environments with sprint execution, backlog management, and JIRA-based delivery
• Active Secret clearance or higher
• Familiarity with DoD acquisition frameworks, processes, or artifacts (e.g., JCIDS, Adaptive Acquisition Framework (AAF), CDD/CNS, milestone/gate reviews, RMF/ATO, and federal data governance)
• Direct experience working in DoD GovCloud (IL4/IL5) environments
• Hands-on experience with IBM Engineering Lifecycle Management (Jazz Suite)
• Direct familiarity with MHS-specific legacy data sources: MEPRS, SIDR, CAPER, M2, or CHCS
• Experience with SAFe for Government methodology
• Understanding of federal cybersecurity and compliance frameworks (NIST 800-171, HIPAA, Privacy Act, CUI handling)