Data Engineer

Imagineeer is seeking a Data Engineer to support the design, development, and maintenance of secure, compliant data pipelines and enterprise data platforms within DoD and federal healthcare environments. This role focuses on building scalable ingestion frameworks, implementing secure data transformation workflows, and ensuring all engineering activities align with federal cybersecurity, privacy, and records management standards. You will operate in regulated IL4/IL5 cloud environments and work directly with data architects, cybersecurity teams, and data scientists to deliver trusted, audit-ready data infrastructure., Pipeline Design and Development Design, develop, and maintain secure ETL/ELT data pipelines in IL4/IL5 cloud environments Build scalable ingestion frameworks integrating structured and unstructured data sources Develop API-based and streaming ingestion mechanisms Integrate enterprise systems including MHS GENESIS, TRICARE, and United States Transportation Command Enforce data validation, schema enforcement, and metadata tagging standards across all pipelines Security and Compliance Engineering Implement encryption in transit and at rest in accordance with DoD and NIST requirements Develop automated logging, monitoring, and audit trails for all data ingestion and transformation activities Support implementation of ABAC and RBAC mechanisms Assist with RMF documentation and ATO package development Participate in DevSecOps pipeline implementation and CI/CD automation Data Governance and Cataloging Support data cataloging, metadata management, and lineage tracking initiatives Apply data quality checks and fitness-for-use assessments across high-visibility datasets Document engineering methods and pipelines to support Government sustainment and knowledge transfer

5 to 10 years of experience in data engineering or enterprise data platform development Experience supporting DoD or federal civilian agencies Hands-on experience with IL4/IL5 cloud environments (AWS GovCloud, Azure Government, or equivalent) Strong proficiency in SQL and Python Experience building pipelines using Spark or distributed processing frameworks Familiarity with DevSecOps and CI/CD practices Understanding of NIST 800-series security controls and federal compliance environments Experience implementing encryption, logging, and monitoring controls Must be able to obtain a Public Trust clearance Desired Skills and Competencies: Experience supporting Military Health System or federal healthcare environments Experience with lakehouse platforms (Databricks, Snowflake, or similar) Experience implementing metadata catalogs and data lineage tools (Collibra, Apache Atlas, Alation, Informatica, or equivalent) Familiarity with zero-trust architecture principles Knowledge of automated records retention and disposition workflows Strong documentation skills supporting compliance and audit readiness Experience collaborating with architects, data scientists, and cybersecurity teams in Agile or DevSecOps environments Current database or cloud certifications (AWS, Azure, Oracle, IBM DB2, CDMP, or equivalent) Technical certification in compliance with DoD Directive 8140 (CompTIA Sec+, CISSP, CISM, CEH, or equivalent) Active DoD clearance