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LMI · 2 days ago

Data Engineer - Clearance Required

United States

Full-time

Remote

Mid Level

$102K/yr - $170K/yr

LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed. The Data Engineer will support the U.S. Army’s Holistic Health & Fitness initiative by designing, building, and maintaining data pipelines and services that enable scientific analysis and user engagement activities.

AnalyticsConsultingInformation TechnologyLogisticsManagement ConsultingProfessional Services

Comp. & Benefits

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Design, develop, and maintain data ingestion and transformation pipelines supporting H2FMS analytics and research use cases

Integrate data from multiple sources, including surveys, wearable and performance data, health and injury datasets, and operational systems as directed

Ensure pipelines are reliable, scalable, and support downstream analytic and reporting needs

Support development of analytic data models optimized for reporting, dashboards, and advanced analytics

Work with data governance staff to ensure data models align with approved data definitions and standards

Assist with management of structured and semi-structured data stores used within H2FMS

Enable data access and preparation for data scientists and AI/ML engineers, ensuring data is usable for modeling and analysis

Support feature preparation and data validation activities under Government and senior analytic direction

Assist in troubleshooting data-related issues impacting analytics or models

Support monitoring and resolution of data quality issues, including completeness, consistency, and timeliness

Implement basic validation, logging, and error-handling mechanisms within data pipelines

Coordinate with data governance and analytics teams to address recurring data issues

Collaborate with epidemiologists, research psychologists, and tactical sports scientists to understand analytic data needs

Coordinate with software teams to support integration between data services and application components

Support documentation and communication of data pipeline designs and dependencies

Qualification

Data pipelinesData integrationData transformationCloud-based data servicesStructured dataSemi-structured dataProblem-solvingCommunicationCollaboration