Data Engineer

LMI seeks an experienced Data Engineer to support the U.S. Army's Holistic Health & Fitness (H2F) initiative as a member of the H2F Program Management Office (PMO).

The Data Engineer is responsible for designing, building, and maintaining data pipelines and data services that enable scientific analysis, analytics, and user engagement activities within the Holistic Health and Fitness Management System (H2FMS). This role focuses on data ingestion, transformation, storage, and visualization, ensuring that data supporting research, analytics, and decision support is reliable, well-structured, and available for authorized use.

The Data Engineer works closely with the Technical Project Manager, data governance specialists, epidemiologists, research psychologists, tactical sports scientists, data scientists, and software teams to translate analytic and research requirements into scalable data solutions under Government direction. This role does not set independent data policies or analytic strategies but will enable the Government's decision making through the facilitation of working.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Functional Team Alignment

The Data Engineer is a core member of the H2F PMO, supporting:

Data ingestion, transformation, and integration
• Creation of data pipelines and data services
• Enablement of analytics, AI/ML, and reporting workflows
• Integration of scientific and operational data sources
• Interact with Data Steward responsible for H2FMS systems
• Follow the Data Governance framework established by the office

Key Responsibilities

Data Pipeline Development & Maintenance

• 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 by the H2FMS Government Lead.
• Ensure pipelines are reliable, scalable, and support downstream analytic and reporting needs.

Data Modeling & Storage

• Support development of analytic data models optimized for dashboarding/reporting and statistical learning using the Army Vantage reporting system.
• Work with data governance staff to ensure data models align with approved data definitions and standards.
• Assist with management of structured, semi-structured, and unstructured data used within H2FMS.

Analytics & AI/ML Enablement

• Enable data access and preparation for data scientists, AI/ML engineers, and other data professionals, 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 and model development.

Data Quality & Reliability

• 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.
• Work within the CPE Data Governance Program.
• Work with the Data Governance Data Steward.

Cross-Team Collaboration

• 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.

Required Qualifications

• Bachelor of science degree in Computer Science, Software Engineering, Information Systems, or a related STEM field.
• Demonstrated experience building and maintaining data pipelines and data integration solutions.
• Familiarity with data transformation, storage, and analytics enablement concepts.
• Experience working with unstructured, structured, and semi-structured data.
• Proficient in programming languages python, java, and SQL
• 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.

Desired Qualifications

• Experience designing, implementing, and managing cloud infrastructure.
• 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.
• Secret Clearance is required.

Location & Travel

• Duty Location: On site at Ft. Belvoir, Virginia.
• Travel: Limited travel to Ft. Detrick, Ft. Eustis, Virginia or LMI Headquarters may be required to support planning, integration, or stakeholder engagement.