
1001 - 5000 funcionários
Fundada em 1961
📦 Logística
🏥 Saúde
🎖️ Defesa
Logistics • Healthcare • Defense
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.
🕒 Setembro 11
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $120.000 - $155.000 / ano
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
🚰 Engenheiro de Dados
🦅 Patrocina Visto H1B
👻 Score fantasma 2%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
Fundada em 1961
📦 Logística
🏥 Saúde
🎖️ Defesa
Logistics • Healthcare • Defense
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.
• Develop, maintain, troubleshoot, and enhance ATIS data products, datasets, pipelines, applications, dashboards, and related capabilities within Army Vantage/Palantir Foundry • Design, build, and sustain production-quality data pipelines and transformations using Python, SQL, PySpark, and native Foundry capabilities • Develop and maintain Foundry ontology objects, relationships, and data models • Integrate authoritative ATIS data with Vantage/Foundry and other Army enterprise data sources while maintaining data quality, lineage, and access controls • Diagnose and resolve end-to-end data quality and integration issues across source data, interfaces, transformations, pipelines, and products • Develop Foundry-native dashboards, applications, reports, and other data products • Implement data-quality validation, monitoring, scheduling, error handling, and production reliability practices • Apply version control, peer review, testing, documentation, and CI/CD where supported • Collaborate with product owners, engineers, architects, analysts, and users to translate mission needs into technical solutions • Document solutions, share knowledge, and build team capability • Operate as a self-directed member of the Agile team and drive technical problems toward resolution
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field, or equivalent relevant experience • 4+ years of professional experience in data engineering, data integration, software development, or development of production data products • Hands-on experience developing or maintaining solutions in Palantir Foundry and/or Army Vantage • Strong proficiency in SQL and Python • Experience designing, building, and maintaining ETL/ELT pipelines involving complex or disparate datasets • Experience with data modeling, including schemas, keys, relationships, reference data, and transformation of source data into reusable data products • Experience with Foundry ontology, semantic data models, or comparable enterprise data structures • Experience with PySpark, Spark, Pandas, or comparable technologies • Demonstrated ability to troubleshoot data pipelines, integrations, data-quality issues, and production data products • Ability to work independently while collaborating with multidisciplinary technical and product teams • Strong analytical, problem-solving, communication, and documentation skills • Active DoD Secret security clearance • Applicable DoD 8140 cybersecurity/workforce qualification, where required (preferred) • Familiarity with APIs, cloud data services, and enterprise system integration (preferred) • Experience working within an Agile or SAFe Agile Release Train environment (preferred) • Experience supporting Army, DoD, federal, or other secure/regulated mission systems (preferred)
• Equal employment opportunity protections • Disability accommodation assistance during the application process
Candidatar-se🕒 Setembro 11
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🇺🇸 Estados Unidos – Remoto (EUA)
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💰 $1.500.000.000 Post-IPO Equity - Hewlett Packard Enterprise em 2025-04
⏰ Tempo Integral
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🚰 Engenheiro de Dados
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
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💰 $1.500.000.000 Post-IPO Equity - Hewlett Packard Enterprise em 2025-04
⏰ Tempo Integral
🟠 Sênior
🚰 Engenheiro de Dados
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório