Data Engineer

LMI•Fort Gregg-Adams, VA

17d•$80,375 - $90,604•Onsite

About The Position

LMI is seeking an Associate Data Engineer to support the U.S. Army Combined Arms Support Command at Fort Lee, Virginia. This role involves building and maintaining data pipelines and trusted data products to support Army Quartermaster Corp, sustainment, and operational decision-making. It is a hands-on role for an early-career engineer with a solid foundation in Python, SQL, and data integration, requiring onsite work at Fort Lee, Virginia.

Requirements

Bachelor's degree in computer science, data science, engineering, information systems, mathematics, or a related field, or equivalent practical experience.
One or more years of relevant data, software, or analytics engineering experience. Relevant internships, military experience, and substantial academic projects may be considered.
Working knowledge of Python and SQL.
Understanding of relational databases, data structures, and data-transformation concepts.
Experience building or supporting ETL or ELT workflows.
Familiarity with Git or another source-control system.
Ability to communicate technical issues clearly and work effectively within a multidisciplinary team.
The ability to obtain and maintain a DoD Secret clearance is required. Only US Citizens can obtain a clearance.
Ability to work onsite at Fort Lee, Virginia.

Nice To Haves

Active DoD Secret clearance.
Experience supporting the U.S. Army or another Department of Defense organization.
Familiarity with Army logistics, sustainment, readiness, supply chain, or maintenance data.
Experience with Palantir Foundry, Databricks, or another enterprise data platform.
Experience with cloud data services in AWS or Azure.
Familiarity with data-quality, lineage, orchestration, or monitoring tools.
Experience using automated testing or continuous-integration practices.
Relevant technical certification or military occupational experience.

Responsibilities

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.