Palantir Foundry Engineer: Data Pipelines & Ontology Expert

Guidehouse; Houston (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

Parental Leave

401(k) Retirement Plan

Tuition Reimbursement

Job summary

Guidehouse seeks a Palantir Foundry engineer to design and maintain data integration, analytics, and application solutions. You will build scalable data pipelines, ontology models, and reusable data products, plus develop user-facing apps using Foundry Workshops.

You will integrate data across cloud platforms and external sources, leveraging Python, SQL, and PySpark, while enforcing data quality, governance, and metadata practices. Expect Agile collaboration and ongoing modernization efforts.

Qualifications

• Must be able to obtain and maintain a Public Trust; eligible for clearance.
• Bachelor's degree in a technical field or equivalent experience.
• 4+ years developing with Palantir Foundry, including data pipelines and apps.
• Experience building Foundry Workshops and operational apps.
• Experience designing Ontology models for workflows.
• Proficiency in SQL and Python (PySpark) and data integration from multiple sources.
• Experience with cloud platforms and modern data architectures.
• Familiarity with Agile, DevSecOps, and governance practices.

Responsibilities

• Design, develop, configure, and maintain Palantir Foundry data integrations and analytics solutions.
• Build scalable data pipelines, transformations, and reusable data products.
• Develop Palantir Ontology models, business objects, relationships, and workflows.
• Design and develop user-facing applications using Foundry Workshops.
• Integrate data from cloud platforms, APIs, databases, and external sources.
• Develop and optimize solutions using Python, SQL, and PySpark.
• Implement data quality, metadata, lineage, and governance practices.
• Collaborate with engineers, scientists, analysts, and stakeholders to translate requirements.
• Support Agile software development, testing, deployment, and continuous improvement.
• Prepare technical diagrams, data flow diagrams, and implementation guides.
• Support modernization initiatives involving cloud platforms and AI-enabled analytics.
• Ability to obtain and maintain Public Trust or higher clearance.

Skills

Palantir Foundry

PySpark

SQL

Python

Cloud platforms

Agile/DevSecOps

Ontology modeling

Data governance

Communication

Education

Bachelor's degree in CS / IS / Engineering / Data Science / Math

Tools

Foundry Workshops

Databricks / Azure / AWS / Google Cloud

Job description

Guidehouse seeks a Palantir Foundry engineer to design and maintain data integration, analytics, and application solutions. You will build scalable data pipelines, ontology models, and reusable data products, plus develop user-facing apps using Foundry Workshops.

You will integrate data across cloud platforms and external sources, leveraging Python, SQL, and PySpark, while enforcing data quality, governance, and metadata practices. Expect Agile collaboration and ongoing modernization efforts.