Secure, mission-focused data engineering with the Defense Logistics Agency’s ARTET program in an onsite role in Fort Belvoir, Virginia. This position supports enterprise analytics by designing, building, and maintaining secure data pipelines and integrating datasets for a DoD environment. You’ll work with a team that values reliable delivery, data integrity, and documentation of architecture, workflows, and security compliance practices.
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 requirements.
- Implement data validation, cleansing, and monitoring to maintain data integrity.
- Support cloud or hybrid data environments, including AWS, Azure, or on-prem infrastructure.
- Collaborate with analysts and developers to define data needs 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 data and pipeline performance issues and implement corrective actions.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
- 5+ years of experience building and supporting data pipelines in enterprise environments.
- Strong SQL proficiency with experience working with relational databases.
- Experience developing ETL/ELT processes and working with structured and unstructured data.
- Experience with Python or a similar scripting language.
- Experience operating in secure Federal or DoD environments.
Technologies
SQL, Python, AWS, Azure, ETL, ELT, ERP, AI/ML, Spark, Kafka, AWS Redshift, RDS, EMR
Benefits
- Competitive salary: USD 125,000 - 150,000 per year
- Comprehensive benefits
- 401(k)
- Bonus and profit sharing
- Flexible hours
- Education reimbursement
- Generous paid time off
Preferred
- Experience with cloud data services such as AWS Redshift, RDS, EMR, and Azure Data Services.
- Experience supporting AI/ML data preparation workflows.
- Familiarity with distributed processing frameworks such as Spark and Kafka.
- 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)
Location
Onsite Fort Belvoir, Virginia
