Palantir Foundry Engineer

Job Description (General Summary)

Palantir Foundry Engineer – Intralox

Location:

New Orleans, LA, Baltimore/Washington D.C., US – Remote

We are building a core Palantir practice at Intralox, turning operational data into decision‑ready pipelines, ontology‑backed applications, and AI‑powered workflows. The role seeks experienced Palantir Foundry Engineers to ship real solutions and turn business problems into modern, highly operational software.

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:

• 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

• 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

• Integrate AI models and AIP Logic into operational workflows to enable AI‑assisted decision‑making
• Build analysis workflows in Code Workbook or Code Work spaces for data science and predictive modeling use cases
• Support analysts in building repeatable dashboards and reports in Contour and Quiver

• Partner with business stakeholders, such as engineering and business roles, and people managers to scope and prioritize use cases
• Contribute to platform governance standards alongside the Digital Technologies core team
• Mentor and guide team members who are developing their Palantir skills
• Participate in a globally distributed team

• 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 Type Script
• 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

• 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 Work spaces 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

EOE/M/F/Vet/Disabled