Palantir Developer, Consultant

PowerToFly; Washington (District of Columbia); On-site; USD 103,000 - 171,000; Full time

Job summary

Deloitte is seeking an AI & Data Engineer within the GPS practice to design and deliver modern data solutions for government clients. You will help build scalable pipelines, analytics products, and data platforms that enable enterprise transformation and measurable client impact.

The role requires a Bachelor's degree, 1+ years in data science or data analysis, Palantir Foundry experience, and an Active Secret clearance. Travel 5-25% is expected, with federal consulting experience preferred.

Qualifications

• Bachelor's degree required.
• 1+ years of experience in data science, data manipulation, or data analysis.
• 1+ years of experience with Palantir Foundry.
• Active Secret security clearance.
• Ability to travel 5-25% on average based on work and clients.
• Must be legally authorized to work in the United States without sponsorship.

Responsibilities

• Design modern data architecture, data pipelines, and workflows using Palantir Foundry and cloud-based technologies.
• Build and deploy data engineering solutions that support enterprise transformation.
• Develop analytics products and applications that transform and operationalize enterprise data.
• Collaborate with cross-functional teams to define requirements and deliver scalable solutions.
• Apply DevOps and statistical programming tools to improve data quality and platform performance.

Skills

Independent work

Communication

Attention to detail

Project leadership

Time management

Interpersonal skills

Meet deadlines

Provide guidance

Education

Bachelor's degree

Tools

Palantir Foundry

Job description

Join Deloitte's AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact.

Work you'll do

As an AI and Data Science Engineer on the AI & Data team, you will be responsible for...

• Designing modern data architecture, data pipelines, and workflows using Palantir Foundry and cloud-based technologies
• Building and deploying data engineering solutions that support enterprise transformation and mission-driven outcomes
• Developing analytics products and applications that integrate, transform, and operationalize enterprise data
• Collaborating with cross-functional teams to define requirements, resolve technical issues, and deliver scalable solutions
• Applying DevOps and statistical programming tools to improve data quality, platform performance, and operational efficiency

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 workstreams
• 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

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.

Qualifications

Required:

• Bachelor's degree
• 1+ years of experience in data science, data manipulation, or data analysis
• 1+ years of experience working with Palantir Foundry
• Active Secret security clearance
• Ability to travel 5-25%, 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:

• 2+ years of experience with pipeline and application development within Palantir Foundry
• 3+ years of experience in professional services or federal consulting
• Experience supporting Department of War (DoW) or Department of Defense acquisition and engineering programs.
• Background in sensor development, including sensor architecture, integration, testing, or sustainment.
• Education or professional experience in electrical engineering, systems engineering, or a related technical discipline.
• Experience applying electrical-engineering principles to the development, integration, and validation of sensor or mission-system technologies.

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. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $170,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.