
Palantir Foundry Engineer
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Job overview
Intralox is building an enterprise data and AI platform on Palantir Foundry and AIP, turning operational data into pipelines, Ontology-backed applications, and workflows. The engineer will build and deliver Foundry solutions across data engineering, application development, AI and analytics, and platform governance. The role seeks candidates with hands-on Foundry delivery experience and the ability to translate business problems into operational software.
Skills & qualifications
Skills
Qualifications
Full job description
Palantir Foundry Engineer Apply now (https://jobs.laitram.com/en\_US/JobsLaitram/ApplicationMethods?jobId=8623) Location New Orleans, LA, Baltimore/Washington D.C., US - Remote Job Category Engineering, Information Technology Division Intralox Job Description (General Summary) ABOUT INTRALOX Intralox, L.L.C., a division of Laitram, L.L.C., is a global leader in conveyance solutions that improve lives and optimize businesses worldwide. Our global workforce of over 3,000 employees across 20+ countries are reliable problem solvers who design and deliver solutions that have driven customer growth for more than 50 years. We are deeply committed to innovation, integrity, and continuous improvement — and we are now scaling the next frontier of that innovation: an enterprise-grade data and AI platform built on Palantir Foundry and AIP. WHY THIS ROLE EXISTS Our Digital Technologies (DT) department is building a core Palantir practice at Intralox. We are turning decades of operational data into decision-ready pipelines, Ontology-backed applications, and AIP-powered workflows that create measurable value for our business and our customers. We are looking for experienced Palantir Foundry Engineers to join this team and accelerate that work from day one. We are looking for builders who have already shipped real solutions in Foundry and AIP, plus thrive on turning business problems into modern and highly operational software delivering value. Job Responsibilities and Requirements THIS POSITION DOES NOT QUALIFY FOR SPONSORSHIP WHAT YOU WILL DO Palantir Foundry & AIP Engineers at Intralox work across the full solution stack. Depending on your strengths, you will take the lead on one or more of the following areas: Data Engineering & Integration • Design, build, and maintain data pipelines in Palantir Pipeline Builder and Code Repositories (Python/PySpark/SQL) • Onboard new data sources from enterprise systems (ERP, CRM, Machine Controllers) through Palantir Data Connection • Establish and enforce data quality standards, monitoring, and lineage visibility across the platform Ontology & Application Building • Develop and extend the Intralox Ontology in Ontology Manager — defining object types, links, and action types that reflect our business model • Build tailored Workshop or Web applications for operators and business users across manufacturing, commercial, and service functions • Implement business logic through Palantir Functions and connect it cleanly to the Ontology • Collaborate with Palantir developers and internal stakeholders to architect reusable, scalable use cases AI & Analytics • Integrate AI models and AIP Logic into operational workflows to enable AI-assisted decision-making • Build analysis workflows in Code Workbook or Code Workspaces for data science and predictive modeling use cases • Support analysts in building repeatable dashboards and reports in Contour and Quiver Delivery & Collaboration • Partner with business stakeholders, like various engineering and business roles, plus people managers to scope and prioritize use cases • Contribute to platform governance standards alongside the DT core team • Mentor and guide team members who are developing their Palantir skills • Participate in a globally distributed team WHAT YOU BRING Required · Bachelor’s degree in computer science, Data Science, or Engineering — or equivalent professional experience · At least 2 years building in Palantir Foundry (pipelines, Ontologies, or apps), not just using dashboards · Proficiency in at least two of the following: Pipeline Builder, Code Repositories (Python/Spark), Workshop, Ontology Manager, AIP Logic, or Slate · Production-grade coding ability in Python; working knowledge of TypeScript · Familiarity with engineering best practices: Git, CI/CD, automated testing, and logging · Track record of delivering complete Palantir use cases, from data onboarding through to the end-user application · Experience owning data pipelines post-deployment — monitoring, troubleshooting, and improving them in production · Strong communication skills, with the ability to translate between technical and non-technical stakeholders · Comfortable working independently in a globally distributed, asynchronous team · Professional proficiency in English Preferred • Experience with Palantir AIP, including model integration, AIP Logic, and AI-assisted workflow design • Background or domain knowledge in manufacturing, industrial operations, supply chain, or logistics • Proficiency with Code Workbook or Code Workspaces for Python- or R-based data science and ML workflows • Experience acting in multiple Palantir roles within a single engagement (e.g., data engineer + app builder) • Familiarity with platform administration, security markings, or data governance tooling in Foundry • Prior experience scaling a Palantir practice within an enterprise organization EEO/Vet/Disability Notice EOE/M/F/Vet/Disabled LinkedIn Recruiter #LI-AT1
How this job compares
Set against the 6,174 open Data Engineer jobs on Olive Jobs, counted November 11, 2026.
- Pay
- This postingNot listed
- Washington, D.C. median$105–188K/yr83 salary ranges
- US median$60–70/hr270 hourly ranges
- Openings
- Olive Jobs lists 101 open Data Engineer jobs in Washington, D.C. and 6,174 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 2 years of experience — less than three in four Data Engineer postings that state a minimum ask for (median 5 years, across 5,392 postings).
- Education
- 2,381 of the 6,174 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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