Palantir Foundry Data Engineer II — Frontend & Pipelines

Relha LLC; Northern (KY); Hybrid; USD 84,000 - 141,000; Full time

Job summary

Deloitte is seeking a Data Engineer II to design, configure, develop, and enhance Palantir-based solutions in a fast-paced environment. You will translate requirements into scalable data workflows and user-focused capabilities, collaborating across functional teams.

The role emphasizes hands-on Foundry development, front-end experiences, and secure, scalable data applications with Python and Foundry tools. Travel up to 10% may be required.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field.
• 3+ years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows.
• 1+ years of hands-on project experience with Palantir Foundry.

Responsibilities

• Design, develop, and deploy user-facing applications and workflows using Palantir Foundry, focusing on Workshop module and front-end experiences.
• Translate client business requirements into scalable, secure Foundry applications.
• Develop, test, troubleshoot, and maintain technical solutions using Python and Foundry tools.
• Collaborate with data engineers to integrate front-end apps with data pipelines and backend services.

Skills

Independent work

Communication

Attention to detail

Relationship building

Project leadership

Prioritization

Interpersonal skills

Deadline management

Education

Bachelor's degree in CS/CE/SE/IS/Data Science

3+ years designing data pipelines

1+ years Palantir Foundry experience

Tools

Palantir Foundry

Python

Tableau

Qlik

Job description

Deloitte is seeking a Data Engineer II to design, configure, develop, and enhance Palantir-based solutions in a fast-paced environment. You will translate requirements into scalable data workflows and user-focused capabilities, collaborating across functional teams.

The role emphasizes hands-on Foundry development, front-end experiences, and secure, scalable data applications with Python and Foundry tools. Travel up to 10% may be required.