Data Engineer

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.

**This role is onsite at Fort Lee (VA)

LMI is seeking an Associate Data Engineer to support the U.S.

Army Combined Arms Support Command at Fort Lee, Virginia.

You will help build and maintain the data pipelines and trusted data products used to support the Army Quartermaster Corp, sustainment, and operational decision-making.

This is a hands-on role for an early-career engineer with a solid foundation in Python, SQL, and data integration.

• Build, test, and maintain data pipelines.
• Collect, transform, and integrate data from databases, files, APIs, and enterprise systems.
• Develop Python and SQL code used in data-processing and integration workflows.
• Perform data profiling, validation, and quality checks.
• Help document data sources, transformations, lineage, and technical processes.
• Investigate pipeline failures and data-quality issues.
• Support the development of trusted data products for reporting, analysis, and Army decision-making.
• Use source control, automated testing, and established engineering practices.
• Work with Army stakeholders to understand data requirements.
• Participate in code reviews and contribute to reusable engineering patterns.

• Bachelor's degree in computer science, data science, engineering, information systems, mathematics, or a related field, or equivalent practical experience.