Data Engineer

🕒 Janeiro 14

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $101.986 - $170.154 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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LMI

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1961

🤖 Inteligência Artificial

⚕️ Seguro de Saúde

🏛️ Governo

Artificial Intelligence • Healthcare Insurance • Government

A LMI é uma empresa visionária que se concentra em reinventar o caminho do insight à ação por meio de soluções inovadoras em diversos setores, incluindo IA aplicada e saúde digital. Eles fornecem análises avançadas, suporte de engenharia e otimização de desempenho nos mercados de defesa, saúde e civil, com um forte compromisso em aprimorar a eficácia da missão para clientes governamentais. Com foco na colaboração e pesquisa, a LMI visa promover mudanças positivas por meio de suas diversas capacidades e parcerias.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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