Data Engineer & Governance Specialist - Clearance Required

LMI•Fort Belvoir, VA

1d•Onsite

About The Position

The Data Engineer & Governance Specialist 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. This role is fulll-time onsite at Ft. Belvoir, VA

Requirements

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.
Working knowledge of core data governance concepts including data stewardship, metadata management, data cataloging, data lineage, and data quality dimensions.
Hands-on experience building or maintaining data quality dashboards in Power BI, Tableau, or equivalent platforms.
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 with ability to operate effectively across technical and non-technical audiences.
Active DoD Secret clearance.

Nice To Haves

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.

Responsibilities

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
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.
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.
Serve as a designated Data Custodian for assigned data domains, owning the accuracy and completeness of data asset inventories, classifications, and ownership records.
Execute data governance policies, standards, and procedures established by the Enterprise Data Governance team, applying independent judgment to implement guidelines within the program or business unit context.
Lead the intake and registration of new data sources into the enterprise data catalog, ensuring metadata, data definitions, and lineage are documented prior to use in analytics or reporting.
Actively participate in Enterprise Data Governance working groups as a domain representative, contributing engineering and program-level perspective to policy discussions.
Support periodic governance assessments and audits, leading the collection and preparation of evidence and documentation on behalf of the program or business unit.
Own the data quality monitoring program for assigned data domains, overseeing coverage across key quality dimensions including completeness, accuracy, consistency, timeliness, uniqueness, and validity.
Own and maintain end-to-end metadata records, data dictionaries, and data lineage documentation for assigned data assets from source systems through transformation pipelines to analytic and reporting outputs.
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.
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.
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.