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数据工程师 – Army Vantage / Palantir Foundry - 需要安全许可

Data Engineer – Army Vantage / Palantir Foundry - Clearance Required

开发工程限定地区(需当地身份)
公司Logistics Management Institute
薪资$120,000 - $155,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

概述
LMI正在寻找一位经验丰富的数据工程师——Army Vantage / Palantir Foundry,以支持美国陆军培训信息系统(ATIS)项目。这个实践性角色将开发、维护和改进ATIS的数据产品和集成,主要专注于通过Army Vantage和Palantir Foundry交付的功能。
数据工程师将把权威的ATIS数据转化为可靠、可重用的企业级数据产品,并确保Vantage/Foundry功能与更广泛的ATIS数据生态系统有效集成。理想的候选人具备实际的Foundry经验、强大的数据工程技能,并能够独立识别和解决跨ATIS和Vantage/Foundry的端到端数据质量和集成问题。
LMI是一家新型的数字解决方案提供商,致力于通过创新和速度加速政府影响。LMI提前投资技术和原型,将商业级平台和任务就绪的人工智能带到联邦机构,实现商业速度。
利用我们任务就绪的技术和解决方案、在联邦部署方面的丰富经验以及战略关系,我们高效且有效地提升政府成果。以敏捷性和协作为核心,LMI服务于国防、太空、医疗和能源领域,帮助机构应对复杂性并超越变化。LMI总部位于弗吉尼亚州泰森斯,致力于提供能加强任务并推动持久价值的影响性结果。
职责

  • 在Army Vantage/Palantir Foundry中开发、维护、排查故障并增强ATIS数据产品、数据集、管道、应用程序、仪表板及相关功能。
  • 使用Python、SQL、PySpark和原生Foundry功能设计、构建和维护生产级数据管道和转换。
  • 开发和维护Foundry本机的本体对象、关系和数据模型,使权威的ATIS数据易于理解、可重用并可供授权用户访问。
  • 将权威的ATIS数据与Vantage/Foundry及其他陆军企业数据源集成,同时保持数据质量、血缘关系和适当的访问控制。
  • 跟踪、诊断并推动解决跨ATIS源数据、接口、转换、管道和Vantage/Foundry产品的端到端数据质量和集成问题。
  • 开发Foundry本机的仪表板、应用程序、报告和其他数据产品,以支持陆军需求
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Overview
LMI is seeking an experienced Data Engineer – Army Vantage / Palantir Foundry to support the U.S. Army Training Information System (ATIS) program. This hands-on role will develop, maintain, and improve ATIS data products and integrations, with a primary focus on capabilities delivered through Army Vantage and Palantir Foundry.
The Data Engineer will transform authoritative ATIS data into reliable, reusable enterprise data products and ensure Vantage/Foundry capabilities integrate effectively with the broader ATIS data ecosystem. The ideal candidate has hands-on Foundry experience, strong data-engineering skills, and the ability to independently identify and resolve end-to-end data quality and integration issues across ATIS and Vantage/Foundry.
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.
Responsibilities

  • 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 that make authoritative ATIS data understandable, reusable, and accessible to approved users.
  • Integrate authoritative ATIS data with Vantage/Foundry and other Army enterprise data sources while maintaining data quality, lineage, and appropriate access controls.
  • Trace, diagnose, and drive resolution of end-to-end data quality and integration issues across ATIS source data, interfaces, transformations, pipelines, and Vantage/Foundry products.
  • Develop Foundry-native dashboards, applications, reports, and other data products to support Army analytics, visualization, reporting, and mission needs.
  • Implement data-quality validation, monitoring, scheduling, error handling, and other practices necessary to operate reliable production data products.
  • Apply sound software and data-engineering practices, including version control, peer review, testing, documentation, and CI/CD where supported.
  • Work directly with product owners, engineers, architects, analysts, and users to translate mission needs into practical technical solutions and support appropriate use of authoritative ATIS data.
  • Document solutions, share knowledge, and build team capability so ATIS can sustain and extend its data and Foundry capabilities without creating single-person dependencies.
  • Operate as a self-directed member of the Agile team, taking ownership of technical outcomes and independently driving problems toward resolution.

Qualifications
Required Qualifications

  • 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, with sufficient familiarity to contribute with limited platform-specific ramp-up.
  • Strong proficiency in SQL and Python for data transformation, analysis, automation, and troubleshooting.
  • 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 for transforming complex datasets.
  • Demonstrated ability to troubleshoot data pipelines, integrations, data-quality issues, and production data products, including tracing problems across source systems and downstream consumers.
  • Ability to work independently from mission intent or a desired end state while collaborating effectively with multidisciplinary technical and product teams.
  • Strong analytical, problem-solving, communication, and documentation skills, including the ability to explain technical concepts to nontechnical stakeholders.
  • Active DoD Secret security clearance.

Preferred Qualifications

  • Direct experience developing and sustaining data products within Army Vantage.
  • Experience integrating DoD/Army authoritative data sources and working with enterprise data-quality, lineage, governance, and access-control requirements.
  • Experience developing Foundry-native applications, dashboards, reports, or custom interfaces.
  • Experience applying software-engineering practices such as Git/version control, peer review, automated testing, and CI/CD to data products.
  • Familiarity with APIs, cloud data services, and enterprise system integration.
  • Experience working within an Agile or SAFe Agile Release Train (ART) environment.
  • Applicable DoD 8140 cybersecurity/workforce qualification, where required.
  • Experience supporting Army, DoD, federal, or other secure/regulated mission systems.

Target salary range: $120,000 - $155,000
Disclaimer:
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Job Locations
US-RemoteOriginally posted on Himalayas

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平台工程师

Logistics Management InstituteUnited States$135,000 - $230,000/年Full Time今天
开发工程限定地区(需当地身份)

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