Palantir Full Stack Developer, Senior Consultant

Guidehouse; Washington (District of Columbia); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading company seeks a Senior Consultant for the Palantir Full Stack Developer role. You will design and develop applications using Palantir Foundry, create data pipelines, and ensure software quality through testing and validation. Ideal candidates will have a strong background in full-stack development, data science, and excellent communication skills.

Qualifications

• At least three (3) years of relevant experience in Palantir Foundry and full-stack development.
• Experience in data pipelines using Python/PySpark.
• Strong communication skills and ability to work independently and collaboratively.

Responsibilities

• Design and develop full stack applications using Palantir Foundry’s platform.
• Create data pipelines and support end-to-end data pipeline development.
• Perform data validation and analysis, and develop unit tests.

Skills

Full-stack development

Data pipelines

Data visualization

Communication

Education

University Degree

Master’s Degree in Data Engineering, Business Analytics, Data Science, Statistics, or Computer Science

Tools

Palantir Foundry

Python

PySpark

Power BI

Job description

Join to apply for the Palantir Full Stack Developer, Senior Consultant role at Guidehouse.

Support Palantir Foundry Application Development: Work closely with Subject Matter Experts (SMEs) to design and develop full stack applications using Palantir Foundry’s platform. Responsibilities include working on both frontend and backend components, enhancing user interfaces and visualizations, and implementing operational applications with Foundry Tools (Workshop, Quiver, and Slate). Develop interactive workflow UIs, build/access data versions, and enable analytics. Implement data visualizations with Foundry Tools (Quiver and Contour) and Power BI, and maintain applications as requirements evolve.

Support Data Integration and Management: Create data pipelines with PySpark, develop datasets and Foundry objects, and collaborate with Data Engineering teams to understand data models. Support end-to-end data pipeline development, including ETL processes with Python and Pyspark, for high-scale, data-intensive workflows.

Support Testing and Quality Assurance: Perform data validation and analysis, develop unit tests with PyTest, and implement Foundry Expectations for automated data validation. Monitor critical issues like data staleness or quality, and execute comprehensive testing to ensure software quality. Debug and resolve user-reported issues.

Qualifications include a University Degree and at least three (3) years of relevant experience in Palantir Foundry, full-stack development, and data pipelines using Python/PySpark. Additional expertise in data science, analytics, and open-source technologies is preferred. Strong communication skills and the ability to work independently and collaboratively are essential.

Nice-to-have qualifications: Master’s Degree in Data Engineering, Business Analytics, Data Science, Statistics, or Computer Science; experience supporting government or energy clients; and business development skills for RFP/RFQ/RFI responses.