Overview 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. 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 Qualifications * 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 * Fully remote capability acceptable Desired Qualifications * Active DoD Top Secret clearance * Part-time onsite client support in the Washington, DC metro area