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LMI

Data Engineer – Army Vantage, Palantir Foundry

LMI

Data Engineer building Army ATIS data products, pipelines, and dashboards in Palantir Foundry. Supporting LMI’s secure federal mission technology and U.S.

Posted 9/11/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $155,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining data products and pipelines using Python, SQL, and PySpark within Palantir Foundry and Army Vantage. Proficient in data modeling, integration, and ensuring data quality while collaborating effectively in Agile environments.

Highest-signal resume keywords
Python ProgrammingSQL ProficiencyPalantir Foundry ExperienceData Pipeline DevelopmentData Modeling

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data EngineeringETL/ELT Pipeline DesignData Quality ValidationData TransformationFoundry Ontology DevelopmentPySparkSparkPandasVersion ControlCI/CD Implementation
Soft Skills
Analytical SkillsProblem-SolvingCommunicationDocumentationCollaboration
Tools & Technologies
Army VantagePalantir FoundryAPIsCloud Data ServicesAgile Methodologies
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceActive DoD Secret Security ClearanceDoD 8140 Cybersecurity Qualification
Industry Keywords
Data IntegrationData ProductsEnterprise Data StructuresAgile EnvironmentDoD Systems

Tech Stack

Tools & technologies
CloudCyber SecurityETLPandasPySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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)

Benefits

Comp & perks
  • Equal employment opportunity protections
  • Disability accommodation assistance during the application process