Overview
LMI seeks an experienced Data Engineer to support the U.S. Army’s Holistic Health & Fitness (H2F) initiative as a member of the Analytics functional team within the H2F Program Support Team.
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.
Required Qualifications
- 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.
Desired Qualifications
- 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.
Location & Travel
- Duty Location: This position may be performed in a remote or hybrid capacity.
- Travel: Limited travel to Fort Eustis, Virginia or LMI Headquarters may be required to support planning, integration, or stakeholder engagement.
Salary Range
Target salary range: $101,986 - $170,154
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.
Security Clearance
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only U.S. citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.