Palantir MSS Developer​/Engineer

Position: Palantir MSS Developer / Engineer

Deloitte is seeking a Data Engineer II to support the design, configuration, development, and enhancement of Palantir-based solutions within a fast-paced, mission-oriented delivery environment. This professional will work across functional and technical teams to translate business and operational requirements into scalable data workflows, applications, and user-focused capabilities. The ideal candidate brings hands-on platform development experience, strong problem-solving skills, and the ability to operate effectively in a collaborative, client-service environment.

As a Data Engineer II on the Data Engineering team, you will be responsible for…

Design, develop, and deploy user-facing applications and workflows using Palantir Foundry, with a focus on the Workshop module and front-end experiences.

Translate client business requirements into intuitive, scalable, and secure Foundry applications.

Build and configure solutions that leverage Palantir’s AI-enabled capabilities to support operational decision-making and mission outcomes.

Develop, test, troubleshoot, and maintain technical solutions using Python and Foundry development tools.

Collaborate with data engineers and other technical team members to integrate front-end applications with data pipelines, ontologies, and backend services.

A successful candidate would possess these skills:
Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or work streams

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The team

You will join a team that designs and delivers data engineering solutions that help organizations modernize data platforms and enable analytics, automation, and business insight. The team works across the data lifecycle, including ingestion, transformation, storage, quality, and delivery of data products. Team members collaborate with engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions.

Qualifications

Required:

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 experience of hands-on project experience with Palantir Foundry

Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment

Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field

Demonstrated experience developing front-end solutions in Foundry, including Workshop applications, operational workflows, or user-facing applications.

Familiarity with Palantir’s AI-enabled capabilities and ability to apply them to business or client needs.

Strong Python proficiency, including the ability to develop, troubleshoot, and maintain technical solutions.

Solid foundation in software development, data engineering, or application development beyond low-code configuration.

Palantir AI Engineer or Application Developer certification, and experience with Tableau, Qlik, or other data-visualization platforms.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.…