Palantir Engineer - Data Engineer II - Secret Clearance
Listed on 2026-08-03
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IT/Tech
Data Engineering, Data Analyst, AI Engineer (Applied/Software)
Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
Deloitte is seeking a highly skilled and forward-thinking Palantir Developer to support discovery and integration of disparate Foreign Military Sales (FMS) data sources, primarily within the client’s Palantir Vantage platform, to support mission-critical operations and data-driven decision making.
As a Palantir Engineer - Data Engineer II on the AI & Data team, you will be responsible for:
Building end-to-end use cases that deliver measurable value to stakeholders across mission-critical operations
Collaborating directly with customers to prototype solutions, gather feedback, and refine functionality based on user needs
Configuring and maintaining ontologies that structure enterprise data models across disparate data sources
Developing data transformation pipelines for ingestion, processing, and analysis within the Palantir environment
Building workflows and automated decision-support solutions while supporting requirements gathering, demonstrations, and deployment activities
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 demeanorAbility to meet deadlines
Ability to provide clear guidance to others
The team
Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
QualificationsRequired:
1+ years of experience with Palantir Foundry, or 1+ years of experience building workflow applications on low-code/no-code platforms, or 1+ years of data engineering experience on large data platforms such as Databricks
Experience facilitating technical workshops and client demonstrationsExperience implementing artificial intelligence in workflow applications, including agentic solutions
1+ years of experience developing data pipelines and extract, transform, load (ETL) processes
Ability to travel 10-15%, 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:Experience supporting government clients in a consulting environment
Experience with Palantir Vantage Experience integrating disparate enterprise data sources
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