Data Engineer Hybrid - US

Data Engineer

Full Time • Hybrid - US
Benefits:
  • 401(k) matching
  • Competitive salary
  • Health insurance
  • Paid time off
About this Role: 


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 will focus on building scalable ingestion frameworks, implementing secure data transformation workflows, and ensuring all engineering activities align with federal cybersecurity, privacy, and records management standards. 


The ideal candidate has experience operating in regulated, IL4/IL5 cloud environments and understands the compliance obligations associated with handling Controlled Unclassified Information (CUI) and sensitive healthcare data. 

Key Responsibilities: 

  • 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. 
Qualifications and Skills: 

  • 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 
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 
  • Familiarity with zero-trust architecture principles 
  • Experience handling CUI in regulated environments 
  • Knowledge of automated records retention and disposition workflows 
  • Strong documentation skills supporting compliance and audit readiness 
  • Ability to collaborate with architects, data scientists, cybersecurity teams, and  
  • Active DOD clearance 
Equal Opportunity Employer: 

We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications. 

Flexible work from home options available.





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