Data Engineer - Clearance Required

LMI Government Consulting; Northern (KY); Hybrid; USD 102,000 - 170,000; Full time

Job summary

LMI seeks an experienced Data Engineer to support the U.S. Army’s Holistic Health & Fitness (H2F) initiative as part of the Analytics functional team within the H2F Program Support Team.

The Data Engineer designs, builds, and maintains data pipelines and data services for ingestion, transformation, storage, and accessibility to enable analytics, dashboards, and research. Remote or hybrid work with travel to Fort Eustis may be 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.

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

Data pipelines

Data integration

Collaboration

Data transformation

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field

Tools

Cloud data services

Analytics platforms

Job description

Overview

LMI seeks an experiencedData Engineerto support the U.S. Army’sHolistic Health & Fitness (H2F)initiative as a member of theAnalytics functional teamwithin theH2F Program Support Team.

The Data Engineer is responsible for designing, building, and maintainingdata pipelines and data servicesthat enable scientific analysis, analytics, and user engagement activities within theHolistic Health and Fitness Management System (H2FMS). This role focuses ondata ingestion, transformation, storage, and accessibility, 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 doesnotset independent data policy or analytic strategy.

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.

Responsibilities

• Design, develop, and maintaindata ingestion and transformation pipelinessupporting 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 ofanalytic data modelsoptimized 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 fordata 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 ofdata 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.

Qualifications

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Demonstrated experience building and maintainingdata 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 aSecret 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 supportingDoW or federal customers.

Location & Travel

• Duty Location:This position may be performed in aremote or hybridcapacity.
• Travel:Limited travel to Fort Eustis, Virginia or LMI Headquarters may be required to support planning, integration, or stakeholder engagement.

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.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US 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.

Job Locations

US-Remote