Foundry Data Engineer I: Pipelines & Ontology

Guidehouse; San Antonio (TX); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Retirement Plan

Parental Leave

Tuition Reimbursement

Learning Opportunities

Job summary

Guidehouse is seeking a data integration and analytics professional to design and operate Palantir Foundry solutions. You will build scalable data pipelines, develop Foundry Ontology models, and create user-facing applications using Foundry Workshops.

The role requires collaboration with engineers, data scientists, and stakeholders to translate complex requirements into deliverable data products. Candidates should have hands-on experience with Palantir Foundry, SQL, Python (PySpark), and cloud

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or STEM field; in lieu of degree four additional years of experience.
• Two+ years of experience developing solutions using Palantir Foundry, including data pipelines, transformations, data products, and application development.
• Experience developing Foundry Workshops and operational applications.
• Experience designing Ontology models supporting workflows.
• Experience with SQL and Python (PySpark).
• Experience integrating data from multiple enterprise sources.
• Experience with cloud platforms (Azure, AWS, Google) and modern data architectures.
• Familiarity with Agile methodologies and DevSecOps practices.

Responsibilities

• Design, develop, and maintain data integration and analytics using Palantir Foundry.
• Build scalable data pipelines and reusable data products for reporting and AI.
• Develop Palantir Ontology models, business objects, relationships, and workflows.
• Create user-facing applications with Foundry Workshops and related tools.
• Integrate data from cloud platforms, APIs, and databases at scale.
• Write nodes in Python/SQL for large-scale analytics.
• Implement data quality, lineage, governance, and metadata practices.
• Collaborate with engineers, data scientists, and stakeholders to translate requirements.
• Support Agile processes, sprint planning, and deployment activities.
• Produce system diagrams, data flows, and implementation guides.

Skills

Palantir Foundry

SQL

Python

PySpark

Cloud platforms

Agile

DevSecOps

Education

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

Tools

Azure

AWS

Databricks

Apache Spark

Job description

Guidehouse is seeking a data integration and analytics professional to design and operate Palantir Foundry solutions. You will build scalable data pipelines, develop Foundry Ontology models, and create user-facing applications using Foundry Workshops.

The role requires collaboration with engineers, data scientists, and stakeholders to translate complex requirements into deliverable data products. Candidates should have hands-on experience with Palantir Foundry, SQL, Python (PySpark), and cloud