Data Engineer DoD

D&G Support Services

Alexandria (VA)

On-site

USD 110,000 - 150,000

Full time

3 days ago
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Benefits offered by this job

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

Job summary

D&G Solutions seeks a Data Engineer in the Alexandria, VA area to design, build, and maintain scalable data pipelines supporting DoD ARTET initiatives. You will integrate enterprise datasets, optimize data models, and enable analytics with secure, compliant data flows.

Ideal candidates bring 5+ years of data engineering, strong SQL, Python, and experience in secure DoD environments. Collaboration with analysts and cloud/hybrid environments is key.

Qualifications

  • Bachelor’s degree in CS, Data Engineering, IS, or related field.
  • 5+ years building and supporting enterprise data pipelines.
  • Strong SQL and relational DB experience.
  • ETL/ELT development with structured and unstructured data.
  • Python or similar scripting language.
  • Experience in secure Federal or DoD environments.

Responsibilities

  • 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.

Skills

5+ years data pipelines
SQL proficiency
Python scripting
Secure DoD environment experience
ETL/ELT development

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS Redshift
Azure Data Services
Spark

Job description

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.

Why This Role Exists

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.

What You Will Do
  • 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.
What We Are Looking For
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.
Clearance and Eligibility
  • 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).
Who We Are

At D&G Solutions, people come first; our teammates, customers, and the communities we serve.

We are one of the fastest growing companies in the Washington, DC area and proud to be recognized nationally as a Best Place to Work. As an 8(a), Service Disabled Veteran Owned, and Women Owned Small Business, we bring ownership, accountability, and care to everything we do. We also deeply believe in giving back and proudly support organizations such as Homes for Our Troops, SemperK9, and Wreaths Across America.

Our teams are welcoming, collaborative, and deeply committed to mission success. We believe great work happens when people feel supported, respected, and trusted, and we work hard to create that environment every day.

What We Offer

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

Final Note

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.

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