Data Engineer-Scientist
3d Design Tools
Aws Data Warehouse
Azure
Azure Data Factory
Azure Data Platform
Big Data
Bigdata
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Engineer
Data Engineering
Data Factory
Data Factory Azure
Data Integration
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Science
Data Warehouse
Database
Databases
ETL
Event Driven Architecture
Informatica
Information Technology (IT)
Microsoft Azure
Programming Language
Reporting and Analytics
SQL
Streaming Data
Job Description
D&G Support Services, LLC is hiring a Data Engineer-Scientist to support the Defense Logistics Agency’s ARTET program within a secure DoD environment. This onsite role in Fort Belvoir, Virginia focuses on building reliable data pipelines and turning enterprise data into an environment that can support analytics and AI/ML development.
Compensation for this position is USD 125,000 - 150,000 per year, with a comprehensive benefits package that includes 401(k), bonus and profit sharing, flexible hours, education reimbursement, and generous paid time off.
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.
- Implement data validation, cleansing, and monitoring to maintain data integrity.
- Support cloud or hybrid data environments, including AWS, Azure, and Google.
- Collaborate with analysts and developers to define data requirements and deliver 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 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 and experience with relational databases.
- Experience developing ETL/ELT processes for structured and unstructured data.
- Experience with Python (or similar scripting language).
- Experience working in secure Federal or DoD environments.
- IAT Level II certification (DoD 8570/8140 compliant) is 100% REQUIRED.
- Must be eligible to work in a DoD secure environment.
- Secret Clearance eligible and US Citizen.
- US citizenship required as defined under 8 U.S.C. 1324b(a)(3).
Technologies
- SQL, Python
- AWS, Azure, Google
- ERP platforms, Relational databases
- Spark, Kafka
- Google Redshift, AWS Redshift
- RDS, EMR, Azure Data Services
Preferred
- Experience with cloud data services (Google, 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 eligible as a US Citizen.
- IAT Level II certification (DoD 8570/8140 compliant) is 100% REQUIRED.
- US citizenship required as defined under 8 U.S.C. 1324b(a)(3).
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