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
Arlington, VA (onsite) supports the Defense Logistics Agency’s ARTET program in a secure DoD environment. This role blends data engineering and data science needs, with an emphasis on building reliable ETL/ELT pipelines, integrating enterprise datasets, and enabling analytics and AI/ML-ready data.
What you’ll do
- Design, build, and maintain scalable ETL/ELT pipelines for both 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 processes to protect data integrity.
- Support cloud or hybrid data environments across AWS, Azure, or Google.
- Partner with analysts and developers to define data requirements and translate them into technical solutions.
- Prepare and structure datasets to support AI/ML initiatives and downstream model development.
- Contribute to documentation of data architecture, workflows, and security compliance practices.
- Troubleshoot performance and data issues and implement corrective actions.
Skills and experience required
- 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 a 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 you may work with
- SQL, Python
- AWS, Azure, Google
- ERP platforms, relational databases
- Spark, Kafka
- Google Redshift, AWS Redshift, RDS, EMR, Azure Data Services
Compensation and benefits
Salary: USD 125,000 - 150,000 per yearly.
- Competitive salary
- Comprehensive benefits
- 401(k)
- Bonus and profit sharing
- Flexible hours
- Education reimbursement
- Generous paid time off
Location and eligibility
Onsite Fort Belvoir, Virginia.
Must be eligible to work in a DoD secure environment, have Secret Clearance eligibility as a US Citizen, and meet the IAT Level II (DoD 8570/8140 compliant) requirement.
Preferred experience
- 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 such as Spark and Kafka.
- Experience supporting DLA or logistics modernization programs.
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