Palantir Data Engineer, Senior

Palantir Data Engineer, Senior

The Opportunity:

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support mission-critical projects for our Defense clients. As a senior machine learning engineer on our core Palantir team, you’ll train, test, deploy, and maintain models that learn from data.   

In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with key stakeholders, data engineers, developers, and data consumers to deliver world-class solutions to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define ML strategy for our defense clients.

Join us. The world can’t wait.

You Have:

• 8+ years of experience in data operations such as data science, data engineering, data platforms, AI, ML, or software development

• 5+ years of experience with Palantir, including data modeling, ontology mapping, or data visualization

• 5+ years of experience with Python or TypeScript

• 5+ years of experience with Pipeline Builder, AIP, and Foundry's application development ecosystems

• Ability to work in a fast-paced, Agile environment

• Ability to travel up to 20% of the time

• Secret clearance  

• Bachelor's degree

Nice If You Have:  

• Experience working with different teams within the Department of Defense

• Experience with Databricks

• Experience working in mission-oriented analytics or logistics-based data environments

• Experience with Git-based code repositories and CI/CD workflows

• Knowledge of working with Maven Smart Systems

• Knowledge of DevSecOps best practices and software life cycle methodologies

• Possession of excellent problem-solving skills

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

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 $99,000.00 to $225,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.