Data Engineer - Clearance Required
About The Position
LMI is seeking an experienced Data Engineer to design, develop, test, and optimize data pipelines and database architectures, with additional responsibilities for creating data visualizations in React. This role will support the development of innovative software solutions that drive AI/ML capabilities for the Department of Defense. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Requirements
- Bachelor’s degree in Computer Science or related field and/or equivalent work experience
- 3-10 years of experience as a data engineer
- Experience with: Agile-based development Python, Spark, notebooks Data Bricks or similar environment
- Effective analytical, conceptual, and problem-solving skills
- Active DoD Secret clearance required
- Part-time onsite client support in the Washington, DC metro area
Nice To Haves
- Active DoD Top Secret clearance
Responsibilities
- Set up segmented databases to control access to various datasets and data products
- Build data pipelines in PySpark using data engineering best practices for testing, validation, automation, and version control
- Coordinate closely with SMEs and front-end developers to generate data tables required for UI execution
- Build code to execute pulls from APIs, allowing access to external data to be pulled into the client environment
- Interact with partners and data providers to understand their data holdings, methods for moving data into the CDAO-Advana platform, and data usage agreements
- Self-starter, and eager to learn and work in a team environment
- Develop intuitive visualizations, dashboards, and reusable User Interface (UI) components using React and the Material UI component library
- Rapidly create working wireframes based on project specifications for client validation in collaboration with human-centered design
- Build CI/CD pipelines using client specifications for security and containerized deployments in client environments
- Manage UI component buildout in conjunction with project management stakeholders using an agile-based project management approach
- Work with data engineers to outline specifications for APIs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
