Data Engineer

🕒 January 14

🇺🇸 United States – Remote

💵 $102k - $170.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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LMI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1961

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🏛️ Government

Artificial Intelligence • Healthcare Insurance • Government

LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options