Palantir Foundry Engineer

Job Description

Requirements
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### Must have:

### - A bachelors degree in computer science, data science, engineering, or equivalent professional experience - At least 2 years of hands-on Palantir Foundry development experience, including pipelines, Ontologies, or applications - Proficiency in at least two of these tools: Pipeline Builder, Code Repositories (Python/Spark), Workshop, Ontology Manager, AIP Logic, or Slate - Strong production coding skills in Python and working knowledge of TypeScript - Familiarity with engineering best practices, including Git, CI/CD, automated testing, and logging - Demonstrated success delivering end-to-end Palantir solutions, from data onboarding to user-facing applications - Experience owning data pipelines after deployment, including monitoring, troubleshooting, and continuous improvement in production - Excellent communication skills and the ability to bridge technical and non-technical audiences - Comfort working independently in a globally distributed, asynchronous environment - Professional fluency in English - Preferred: experience with Palantir AIP, including model integration, AIP Logic, and AI-assisted workflow design - Preferred: background knowledge in manufacturing, industrial operations, supply chain, or logistics - Preferred: experience with Code Workbook or Code Workspaces for Python- or R-based data science and machine learning workflows - Preferred: experience performing multiple Palantir roles within one engagement, such as data engineer and app builder - Preferred: familiarity with platform administration, security markings, or Foundry data governance tools - Preferred: prior experience helping scale a Palantir practice in an enterprise organization

Responsibilities:
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- Design, build, and maintain data pipelines in Palantir Pipeline Builder and Code Repositories using Python, PySpark, and SQL - Onboard new enterprise data sources such as ERP, CRM, and machine controllers through Palantir Data Connection - Define and uphold data quality standards, monitoring, and lineage visibility across our platform - Develop and expand our Ontology in Ontology Manager by creating object types, links, and action types aligned to our business model - Build customized Workshop or Web applications for operators and business users across manufacturing, commercial, and service teams - Implement business logic through Palantir Functions and integrate it cleanly with the Ontology - Collaborate with Palantir developers and internal stakeholders to design reusable, scalable use cases - Integrate AI models and AIP Logic into operational workflows to support AI-assisted decision-making - Build analysis workflows in Code Workbook or Code Workspaces for data science and predictive modeling use cases - Support analysts in creating repeatable dashboards and reports in Contour and Quiver - Partner with business stakeholders and people managers to scope and prioritize use cases - Contribute to platform governance standards with our Digital Technologies core team - Mentor and guide team members as they develop their Palantir skills - Participate in a globally distributed team
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Company:
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We are Intralox, L.L.C., a division of Laitram, L.L.C., and a global leader in conveyance solutions that improve lives and optimize businesses worldwide. Our team of more than 3,000 employees across 20+ countries has spent over 50 years solving complex problems and delivering innovative solutions. We are now scaling an enterprise-grade data and AI platform built on Palantir Foundry and AIP, and our Digital Technologies department is building a core Palantir practice to turn decades of operational data into decision-ready pipelines, Ontology-backed applications, and AIP-powered workflows. We offer the opportunity to work on high-impact, modern software that creates measurable value for our business and our customers while collaborating in a globally distributed environment.
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