Palantir Foundry Engineer

Laitram LLC; Harahan (LA); On-site; USD 120,000 - 150,000; Full time

Job summary

Intralox, L.L.C. is seeking a Palantir Foundry Engineer to join its Digital Technologies team. You will design and maintain data pipelines, ontologies, and applications that turn factory data into actionable insights.

Responsibilities include onboarding new data sources, enforcing data quality, and building reusable use cases with Palantir Functions, Ontology Manager, and AIP logic. You'll implement production-grade Python code, collaborate with globally distributed teammates, and translate

Qualifications

• Bachelor's degree in CS, Data Science, or Engineering or equivalent experience.
• At least 2 years building in Palantir Foundry (pipelines/ontologies/apps).
• Proficiency in two or more tools: Pipeline Builder, Repositories, Ontology Manager, or AIP Logic.
• Production-grade coding with Python; working knowledge of TypeScript.
• Strong CI/CD, testing, and logging practices.

Responsibilities

• Design, build, and maintain data pipelines in Palantir Pipeline Builder and Code Repositories.
• Onboard new data sources via Palantir Data Connection and ensure data quality.
• Develop and extend the Ontology; build Workshop/Web apps for operators and users.
• Implement business logic with Palantir Functions and integrate with Ontology.
• Collaborate with Palantir developers to architect reusable, scalable use cases.
• Integrate AI models and AIP Logic into workflows; support dashboards and analytics.

Skills

Palantir Foundry

Data pipelines

Python

TypeScript

Git

CI/CD

Communication

Education

Bachelor's degree or equiv

Tools

Pipeline Builder

Code Repositories

Ontology Manager

AIP Logic

Code Workbook

Job description

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.

WHAT YOU WILL DO

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.