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