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
This role supports the Defense Logistics Agency’s ARTET program within a secure DoD environment. You will design and maintain scalable data pipelines, integrate enterprise datasets, and help prepare data for analytics and AI/ML initiatives.
Key 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 environments, including AWS, Azure, and Google.
- 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 covering data architecture, workflows, and security compliance practices.
- Troubleshoot performance and data issues, then implement corrective solutions.
Required Qualifications
- 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 and working with 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 is 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
Location
Onsite Fort Belvoir, Virginia (Arlington, VA).
Salary
USD 125,000 - 150,000 per year.
Benefits
- Competitive salary
- Comprehensive benefits
- 401(k)
- Bonus and profit sharing
- Flexible hours
- Education reimbursement
- Generous paid time off
Clearance and Eligibility
- Must be eligible to work in a DoD secure environment.
- Secret Clearance eligible and 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).
Preferred Qualifications
- Experience with cloud data services, including Google, AWS Redshift, RDS, EMR, Azure Data Services, and similar platforms.
- 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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