Data Engineer

If you want to design and build secure, scalable data pipelines that support advanced analytics and emerging technologies within a DoD research environment, we would love to talk.

The work we do has real impact, and the people behind it matter just as much.

D&G is seeking a Data Engineer to support the Defense Logistics Agency’s Applied Research and Testing Emerging Technologies (ARTET) program. This role focuses on building and maintaining modern data pipelines, integrating enterprise datasets, and enabling analytics initiatives within a secure DoD environment.

This position is ideal for a hands‑on engineer who enjoys solving data integration challenges, improving data quality, and supporting analytics teams with clean, reliable, well‑structured data.

• Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured datasets.
• Integrate data from enterprise systems including ERP platforms, operational databases, and legacy systems.
• Develop and optimize SQL queries and data models to support analytics and reporting needs.
• Implement data validation, cleansing, and monitoring processes to ensure data integrity.
• Support cloud or hybrid data environments (AWS, Azure, or on‑prem infrastructure).
• Collaborate with analysts and developers to define data requirements and translate them into technical solutions.
• Support AI/ML initiatives by preparing and structuring datasets for downstream model development.
• Contribute to documentation of data architecture, workflows, and security compliance practices.
• Troubleshoot performance and data issues and implement corrective solutions.

Required

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related technical field.
• 5+ years of experience building and supporting data pipelines in enterprise environments.
• Strong SQL proficiency and experience with relational databases.
• Experience developing ETL/ELT processes and working with structured and unstructured data.
• Experience with Python or similar scripting language.
• Experience working in secure Federal or DoD environments.

Preferred

• Experience with cloud data services (AWS Redshift, RDS, EMR, Azure Data Services, etc.).
• Experience supporting AI/ML data preparation workflows.
• Familiarity with distributed processing frameworks (Spark, Kafka, etc.).
• Experience supporting DLA or logistics modernization programs.

• Must be eligible to work in a DoD secure environment.
• Secret Clearance
• IAT Level II certification (DoD 8570/8140 compliant).
• U.S. citizenship required as defined under 8 U.S.C. 1324b(a)(3).

Competitive salary | Comprehensive benefits | 401(k) | Bonus and profit sharing | Flexible hours | Education reimbursement | Generous paid time off

If you want to work for a company that cares about its people, contribute to a mission that truly matters, and be part of a team where you are valued for who you are as well as what you do, we would love to hear from you.