Palantir Foundry Engineer: AI-Driven Data Pipelines

Laitram LLC

Harahan (LA)

On-site

USD 120,000 - 150,000

Full time

14 days+
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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

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

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