Palantir Foundry Engineer

Laitram•Washington, DC

23h•Remote

About The Position

Intralox’s Digital Technologies department is building an enterprise-grade data and AI platform using Palantir Foundry and AIP. The Palantir Foundry Engineer will help turn operational data into decision-ready pipelines, Ontology-backed applications, and AIP-powered workflows that deliver measurable value to the business and its customers. The role spans data engineering and integration, Ontology and application development, AI and analytics, and delivery and collaboration. Depending on their strengths, the engineer may lead one or more areas while working with business stakeholders and a globally distributed team.

Requirements

Bachelor’s degree in computer science, data science, or engineering, or equivalent professional experience.
At least 2 years building in Palantir Foundry, including pipelines, Ontologies, or applications; experience using dashboards alone does not meet this requirement.
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 and working knowledge of TypeScript.
Familiarity with engineering best practices, including Git, CI/CD, automated testing, and logging.
Track record of delivering complete Palantir use cases, from data onboarding through the end-user application.
Experience owning data pipelines after deployment, including production monitoring, troubleshooting, and improvement.
Strong communication skills and ability to translate between technical and non-technical stakeholders.
Ability to work independently in a globally distributed, asynchronous team.
Professional proficiency in English.

Nice To Haves

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 machine learning workflows.
Experience acting in multiple Palantir roles within a single engagement, such as data engineer and application builder.
Familiarity with Foundry platform administration, security markings, or data governance tooling.
Prior experience scaling a Palantir practice within an enterprise organization.

Responsibilities

Design, build, and maintain data pipelines using Palantir Pipeline Builder and Code Repositories with Python, PySpark, or SQL.
Onboard data from enterprise systems such as ERP, CRM, and 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, including object types, links, and action types.
Build Workshop or Web applications for operators and business users across manufacturing, commercial, and service functions.
Implement business logic through Palantir Functions and connect it 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 Workspaces for data science and predictive modeling use cases.
Support analysts in building 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 alongside the Digital Technologies core team.
Mentor and guide team members developing their Palantir skills.
Participate in a globally distributed team.
Monitor, troubleshoot, and improve data pipelines in production after deployment.