Palantir Data Engineer

Palantir Data Engineer

The Opportunity:  

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research to national intelligence, we need you to help find the answers in the data. 

On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.  

In this role, you will work closely with technical leads, data engineers, business stakeholders, and client teams to design, develop, and maintain scalable data solutions within the Palantir Foundry platform. Working in an agile environment, you will help transform complex data into actionable insights that improve operational decision-making, program performance, and public health outcomes.

The ideal candidate will apply strong data engineering and software development practices to build and optimize data pipelines, workflows, dashboards, and user-facing applications. This individual will support the ingestion, transformation, governance, and visualization of enterprise data while collaborating across technical and functional teams to deliver scalable, high-impact solutions.

What You'll Work On:

• Design, develop, and maintain scalable data pipelines and workflows within Palantir Foundry using Python, PySpark, TypeScript, and related technologies.
• Import, integrate, clean, standardize, and manage data from multiple structured and unstructured data sources while resolving data quality issues.
• Build and maintain reusable code, transformation logic, Ontologies, and operational workflows using Foundry Code Repositories and version control best practices.
• Configure and optimize dashboards, Workshop applications, and visualizations to deliver actionable insights and improve business operations.
• Collaborate with cross-functional teams to translate business, functional, and technical requirements into scalable data solutions and platform capabilities.
• Participate in Agile delivery activities, including sprint planning, scrum ceremonies, Jira tracking, and collaboration with engineering and stakeholder teams to deliver high-quality solutions.

Join us. The world can't wait.

You Have:   

• 2+ years of experience working in a professional technical environment
• 1+ years of experience with Palantir Foundry and its applications, including Code Repository, Ontology Manager, and Workshop
• Experience developing and maintaining data pipelines using Python and PySpark and applying software engineering and data engineering principles in enterprise environments
• Experience integrating, transforming, and managing large datasets from multiple data sources
• Experience translating business and customer requirements into scalable technical solutions
• Experience working in Agile delivery environments and tracking work using tools such as Jira
• Knowledge of fundamental programming principles, data structures, APIs, or web development concepts
• Ability to work take ownership and work independently to solve complex data challenges
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor’s degree

Nice If You Have:   

• Experience leveraging Palantir Artificial Intelligence Platform (AIP) for large language model (LLM) integration and AI-enabled workflows
• Experience with JavaScript, TypeScript, HTML, and CSS
• Experience with statistical programming languages such as R
• Experience with version control systems, including Git
• Experience designing operational dashboards, workflow tools, or data-driven applications
• Experience supporting CDC or public health domain clients
• Experience with Databricks
• Knowledge of Agile and Scrum methodologies
• Possession of strong communication, analytical, and stakeholder engagement skills
• Palantir Foundry Certifications such as Data Engineer Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.