Design, develop, and maintain secure ETL/ELT data pipelines in IL4/IL5 cloud environments
Implement ingestion frameworks integrating structured and unstructured data sources
Develop API-based and streaming ingestion mechanisms
Integrate enterprise systems such as: MHS GENESIS, TRICARE, United States Transportation Command
Enforce data validation, schema enforcement, and metadata tagging standards
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 attribute-based access control (ABAC) and role-based access control (RBAC) mechanisms
Assist with RMF documentation and ATO package development
Ensure compliance with: NIST SP 800-53 controls, FedRAMP Moderate/High baselines, CMMC requirements, HIPAA security rules, DoD 5400.11-R privacy requirements.
Participate in DevSecOps pipeline implementation and CI/CD automation
Support data cataloging, metadata management, and lineage tracking initiatives.

5–10+ 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 experience with SQL and Python
Experience building pipelines using Spark or distributed processing frameworks
Experience with streaming technologies (Kafka or equivalent)
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
Ability to obtain a Public Trust Clearance

Data Engineer

Key skills