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# Data Engineer

- **Company:** IMAGINEEER LLC
- **Location:** Arlington, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Apache HTTP Server, Microsoft Azure, Databases, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, IBM DB2, Distributed Computing Environment, Python (Programming Language), Meta-Data Management, Oracle (Applications), Package Development Process, Role-Based Access Control, Zero Trust Network Access, SQL Databases, Enterprise Data Management, Data Logging, Cloud Platform System, Data Ingestion, Snowflake, Apache Spark, Data Lineage, Collibra, Api Design, Data Pipelines, Devsecops, Databricks
- **Published:** August 9, 2026
- **Apply:** https://www.wayup.com/i-j-Data-Engineer-IMAGINEEER-LLC-570517418169573/

## About the Role

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

## Description

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


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