[Remote] Data Engineer - Clearance Required
Note: The job is a remote job and is open to candidates in USA. LMI is a digital solutions provider focused on enhancing government impact through innovation and speed. They are seeking an experienced Data Engineer to support the U.S. Army’s Holistic Health & Fitness initiative by designing, building, and maintaining data pipelines and services that facilitate scientific analysis and user engagement activities.
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
Skills
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
- Demonstrated experience building and maintaining data pipelines and data integration solutions
- Familiarity with data transformation, storage, and analytics enablement concepts
- Experience working with structured and semi-structured data
- Ability to collaborate effectively within multidisciplinary teams spanning analytics, research, and software
- Strong problem-solving and communication skills
- Ability to obtain and maintain a Secret security clearance
- Experience supporting analytics or research-driven data environments
- Familiarity with cloud-based data services or analytics platforms
- Experience preparing data for dashboards, reporting, or AI/ML workflows
- Prior experience supporting DoW or federal customers
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