LMI is seeking a data engineer to develop, test, maintain, and augment data pipelines and database setups in support of a supply chain risk program for the Department of Defense.

At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. 

• 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

• 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

Desired Qualifications

• Active DoD Top Secret clearance
• Part-time onsite client support in the Washington, DC metro area