Palantir Full Stack Developer, Senior Consultant

Guidehouse; Arlington (VA); On-site; USD 50,000 - 120,000; Full time

Job summary

Guidehouse is seeking a Senior Consultant for the Palantir Full Stack Developer role. The successful candidate will design and develop applications on the Palantir Foundry platform, manage data pipelines, and ensure data quality. This position requires a strong background in full-stack development, data science, and analytics, along with excellent communication skills. Join a leading company in the healthcare and government sectors to make an impact.

Qualifications

• Minimum of 3 years relevant experience.
• Experience in Palantir Foundry and Python/PySpark.
• Ability to work autonomously and collaboratively.

Responsibilities

• Design and develop full-stack applications using Palantir Foundry.
• Develop data pipelines using PySpark and collaborate with Data Engineering teams.
• Perform data validations and create unit tests with PyTest.

Skills

Full-stack development

Data pipelines

Data science

Analytics

Communication

Education

University Degree

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

Job description

Job Title: Palantir Full Stack Developer, Senior Consultant at Guidehouse

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

Location: Laurel, MD

Salary Range: $50,000.00 - $120,000.00

Employment Type: Full-time

Job Responsibilities:

1. Support Palantir Foundry Application Development: Design and develop full-stack applications using Palantir Foundry’s platform, including frontend and backend components, UI improvements, and visualization design.
2. Develop interactive workflow UIs and build/access data versions within the tool to enable analytics.
3. Implement writeback functionality and data visualizations using Foundry Tools (Quiver, Contour) and Power BI.
4. Maintain applications as requirements evolve.
5. Support Data Integration and Management: Develop data pipelines using PySpark, collaborate with Data Engineering teams, and support end-to-end data pipeline development.
6. Support Testing and Quality Assurance: Perform data validations, create unit tests with PyTest, implement automated validations, monitor data quality issues, and debug critical issues.

Qualifications:

• University Degree with a minimum of 3 years relevant experience.
• Experience in Palantir Foundry, full-stack development, and data pipelines using Python/PySpark.
• Strong data science or analytics expertise and ability to work autonomously and collaboratively.
• Excellent communication and consulting skills.

Preferred Qualifications:

• Master’s Degree in Data Engineering, Business Analytics, Data Science, Statistics, or Computer Science.
• Experience supporting Federal Civilian, State and Local Government, or Energy clients.
• Ability to support business development activities.

Additional Information:

• Seniority level: Mid-Senior level
• Industries: Hospitals and Healthcare, Non-profit, Government