Data Engineer - Clearance Required

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.
• Absorb data management responsibilities, including managing 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.
• Collaborate 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 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.