Palantir Foundry Engineer Secret DoD Data

Guidehouse; McLean (VA); On-site; USD 85,000 - 141,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Retirement Plan

Paid Holidays

Professional Development & Training

Job summary

Guidehouse seeks a Palantir Developer to design, build, and operate data solutions using Palantir Foundry in DoD contexts. You’ll craft end-to-end data pipelines, data models, and governance practices to deliver decision-grade insights within Advana and Foundry environments.

The role requires active Secret clearance, 5+ years’ experience in data engineering, and strong Python/SQL/PySpark skills. Expect government-focused, secure deployments in AWS/Azure and modern DevSecOps practices.

Qualifications

• 5 years of data engineering, analytics engineering, or software development experience.
• Active SECRET DoD/federal clearance is required.
• Palantir Foundry experience and Workshop familiarity are essential.
• Experience with Python, SQL, PySpark, and Spark-based data processing.
• Experience building data pipelines and data lineage in secure federal environments.

Responsibilities

• Design, develop, and maintain Palantir Foundry workshop modules.
• Build end-to-end data pipelines ingesting and transforming DoD data.
• Engineer data models, Delta tables, and datasets for financial and mission analytics.
• Develop Foundry pipelines ensuring traceability and repeatable analytics workflows.
• Implement CI/CD and Git-based deployment patterns compliant with DoD security.

Skills

Python

SQL

PySpark

Spark

Data modeling

Analytical thinking

Communication skills

Education

Bachelor’s degree

Tools

Databricks

Palantir Foundry

Git

CI/CD

Job description

Guidehouse seeks a Palantir Developer to design, build, and operate data solutions using Palantir Foundry in DoD contexts. You’ll craft end-to-end data pipelines, data models, and governance practices to deliver decision-grade insights within Advana and Foundry environments.

The role requires active Secret clearance, 5+ years’ experience in data engineering, and strong Python/SQL/PySpark skills. Expect government-focused, secure deployments in AWS/Azure and modern DevSecOps practices.