Today
Top Secret/SCI
$62000.00 - $141000.00 / Year
Unspecified
IT - Database
Washington, DC (On-Site/Office)
Description
Job Title: Data Engineer, AI/ML Applications
Position Type: Full-Time W2, Direct Hire
Pay: $62,000.00 to $141,000.00
Location : On-Site, Must be in one of the following locations: Washington D.C., St. Louis MO, Denver, CO, or Colorado Springs, CO.
Years of Experience Required: 2
Overview
Emerging capabilities in artificial intelligence, machine learning, and autonomous systems demand robust data engineering-especially when integrating complex, diverse data into mission-driven applications. As a data engineer, you understand that clean, connected, and accessible data is the foundation of everything from LLM-powered interfaces to real-time operational insights. We need a data professional like you to help design and build the pipelines, services, and backend infrastructure that power advanced analytics and AI for our clients across defense and intelligence missions.
As a data engineer on our team, you'll use your experience with databases, data pipelines, and scalable application integration to shape how mission applications consume and act on data. You'll build robust infrastructure to support both legacy and bleeding-edge data sources, enabling AI/ML model deployment, geospatial visualization, and multi-modal applications. From connecting operational systems with vector databases to embedding LLMs into field-deployable tools, you'll work on some of the most dynamic and impactful projects in the industry.
Here, you'll collaborate with developers, scientists, and analysts in a fast-paced, agile environment. You'll refine your skills in API development, data platform integration, and deployment across secure environments like AWS GovCloud and containerized infrastructure.
Work with us to turn data into decision advantage.
Join us. The world can't wait.
Key Responsibilities
Required Skills & Qualifications
Preferred Qualifications
Job Title: Data Engineer, AI/ML Applications
Position Type: Full-Time W2, Direct Hire
Pay: $62,000.00 to $141,000.00
Location : On-Site, Must be in one of the following locations: Washington D.C., St. Louis MO, Denver, CO, or Colorado Springs, CO.
Years of Experience Required: 2
Overview
Emerging capabilities in artificial intelligence, machine learning, and autonomous systems demand robust data engineering-especially when integrating complex, diverse data into mission-driven applications. As a data engineer, you understand that clean, connected, and accessible data is the foundation of everything from LLM-powered interfaces to real-time operational insights. We need a data professional like you to help design and build the pipelines, services, and backend infrastructure that power advanced analytics and AI for our clients across defense and intelligence missions.
As a data engineer on our team, you'll use your experience with databases, data pipelines, and scalable application integration to shape how mission applications consume and act on data. You'll build robust infrastructure to support both legacy and bleeding-edge data sources, enabling AI/ML model deployment, geospatial visualization, and multi-modal applications. From connecting operational systems with vector databases to embedding LLMs into field-deployable tools, you'll work on some of the most dynamic and impactful projects in the industry.
Here, you'll collaborate with developers, scientists, and analysts in a fast-paced, agile environment. You'll refine your skills in API development, data platform integration, and deployment across secure environments like AWS GovCloud and containerized infrastructure.
Work with us to turn data into decision advantage.
Join us. The world can't wait.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines, services, and backend infrastructure to support AI/ML, geospatial, and multi-modal mission applications
- Integrate diverse, complex, and legacy data sources into accessible, reliable platforms for defense and intelligence missions
- Build and optimize infrastructure enabling deployment of AI/ML models, LLM-powered interfaces, and real-time operational insights
- Develop APIs and data services that connect operational systems, vector databases, and field-deployable applications
- Collaborate with developers, scientists, and analysts in an agile environment to deliver secure, high-impact solutions
- Deploy data platforms across containerized infrastructure and secure cloud environments such as AWS GovCloud
- Ensure data quality, governance, and scalability to maximize mission impact and decision advantage
Required Skills & Qualifications
- Bachelor's degree
- Secret clearance
- 2+ years of experience with programming languages including Python and C++
- 2+ years of experience developing and maintaining scalable data pipelines and storage solutions
- Experience with modern databases, including PostgreSQL, MongoDB, Neo4j, or DuckDB
- Experience designing ETL/ELT workflows for structured and unstructured data
- Experience building containerized microservices using Docker or Podman and deploying on Kubernetes
- Experience working in cross-functional teams with developers, analysts, and modelers
- Ability to support data ingestion, transformation, and retrieval via APIs and backend services
Preferred Qualifications
- Experience working with Department of Defense (DoD) data systems or secure networks
- Experience with vector-based search and AI-native infrastructure such as Llama.cpp or Ollama
- Experience with modern application frameworks like FastAPI, Gin, or Streamlit
- Experience integrating geospatial datasets using tools like ArcGIS
- Experience with AWS GovCloud and infrastructure-as-code practices
- Experience with real-time data ingestion, event-driven pipelines, or graph data models
- Experience with front-end ecosystems such as TypeScript and React
- Experience supporting MLOps or deploying AI models into production applications
- TS/SCI clearance
group id: RTX1a8ec6
