Job Responsibilities and Requirements
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
