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
- Full remote acceptable
Desired Qualifications
- Active DoD Top Secret clearance
- Part-time onsite client support in the Washington, DC metro area
The salary range for this position is- $100,000 - $150,000
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.