Job Number: R0251372Palantir Mission Integrator
The Opportunity:As a Palantir Mission Integration Lead, you will lead full lifecycle software development efforts within Palantir Foundry, focusing on building scalable data pipelines, applications, and integrations. This role combines hands-on development with technical leadership, including mentoring junior engineers, managing development roadmaps, and collaborating with key stakeholders to drive successful pilot implementations.
You will be responsible for designing and implementing high-impact data solutions, leading technical workshops, and ensuring best practices in code development, repository management, and deployment strategies.
What You'll Work On:
- * Architect, develop, and optimize Foundry-based applications and data pipelines for your customer.
- Guide your team through the full software development lifecycle, from design through deployment.
- Lead technical workshops, training sessions, and Foundry adoption initiatives.
- Provide technical leadership for junior engineers and act as a mentor in best practices.
- Oversee code repositories, CI/CD pipelines, and software governance within the team.
- Drive ontology mapping, data modeling, and API development to support data integration.
- Work with leadership and stakeholders to define development roadmaps and sprint planning.
- Establish and enforce DevSecOps principles within Foundry projects.
Join us. The world can't wait.
You Have:
- * Experience leading teams in classified or restricted network environments
- Experience with Palantir Foundry tools
- Knowledge of governance or security concepts in secure environments
- Ability to translate mission requirements into technical requirements and delivery plans
- Ability to operate independently in ambiguous, fast-moving, and security-sensitive environments
- TS/SCI clearance
- Bachelor's degree
Nice If You Have:
- * Experience with mission analytics or government-focused data solutions
- Knowledge of Foundry security models, access control, and compliance frameworks
- Knowledge of API integration
- Knowledge of data engineering tools and frameworks, including ETL processes, data pipelines, and cloud platforms such as AWS and Azure
- Ability to lead the implementation of data pipelines, ontology, and Foundry applications
- Possession of strong verbal and written communication skills, to communicate effectively with senior leaders, technical teams, and non-technical users
- Master's degree in Data Science or a related field
Clearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
CompensationAt 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 $61,900.00 to $141,000.00 (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 StatementAs 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 PolicyAI 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 ModelOur 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-DiscriminationAll 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.
