Palantir Foundry Ontology Engineer, Junior The Opportunity: As an engineering and analytics professional, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibili…
Skills: Palantir Foundry, Python, TypeScript, Ontology Design, Data Engineering
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NG Fellow 1 – SDS Guidance Navigation and Control (GN&C)
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$69k–$158k/yr
Full-time
bachelor degree
Health Insurance, Life Insurance, Disability Insurance, Financial Benefits, Retirement Benefits, Paid Leave
Posted 24d ago
Apply by Oct 12
~40 hrs/week
Responsibilities
Translate mission problems into technical architectures and ontologies while building production-grade data pipelines in Palantir Foundry. Collaborate with stakeholders to design decision-support capabilities and optimize mission-critical operations.
Requirements
Requires a Bachelor's degree in a technology field and 1+ years of experience in software or data engineering with proficiency in Python or TypeScript. Must have experience with Palantir Foundry and the ability to obtain a Secret security clearance.
Full job description
Palantir Foundry Ontology Engineer, Junior
The Opportunity: As an engineering and analytics professional, 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. Your deep engineering and analytics expertise, coupled with an original approach to your work, will guide clients and stakeholders as they make sense of their data and encourage actionable results.
As a Forward Deployed Engineer on our Defense Technology team, you’ll introduce innovative methodologies to make a real-world impact on protecting our military. You’ll share your skills in data engineering, data science, modeling, and technology integration to develop solutions to drive the mission forward. You’ll collaborate with engineers, product owners, analysts, and mission stakeholders to design and develop Foundry-based applications that meet mission needs.
What You'll Work On:
Translate mission problems into technical architectures, workflows, and ontologies.
Build and maintain production-grade data pipelines using Foundry’s code repositories and pipeline builder with both structured and unstructured dataset inputs.
Design, develop, and maintain ontologies, and create operational workflows and decision-support capabilities.
Troubleshoot, optimize, and improve existing data pipelines and applications supporting mission-critical operations.
Work directly with clients to gather requirements, iterate on prototypes, and refine solutions through deployment.
Implement engineering best practices, including version control, testing, and documentation.
Communicate technical concepts clearly to both technical and non-technical audiences.
Travel to and work from client sites as needed for workshops, deployment activities, or embedded support.
Join us. The world can't wait.
You Have:
1+ years of experience in software, data, or platform engineering
Experience with programming languages such as Python, TypeScript, or Palantir Foundry
Ability to engage with stakeholders, define requirements and translate them into technical solutions, and break down complex mission challenges into implementable solutions
Ability to work independently and take ownership of outcomes while collaborating with a multi-disciplinary team
Ability to obtain a Secret clearance
Bachelor's degree in CS, Engineering, Analytics, or a Technology field
Nice If You Have:
Experience working directly with mission operators, analysts, or stakeholders in embedded or forward-deployed environments for clients in the defense or intelligence sectors
Experience creating data connections, code repos, or pipeline builders for data ingestion and transformation, and debugging and resolving pipeline issues, errors, and performance bottlenecks
Experience in ontology design and management, designing and developing applications and workflows, and integrating AIP solutions
Experience with Git repositories, CI/CD workflows, or infrastructure automation
Experience with AI or ML model integration within Foundry applications
Knowledge of the core Foundry applications and designing solutions to address client challenges
Possession of strong analytical and problem‑solving skills
Secret clearance
Completion of Foundry and AIP Builder Foundations Credential Badge Quiz
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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 $69,400.00 to $158,000.00 (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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.
Whether at the border, up in space, or on the battlefield, we build the advanced technology that makes America stronger, faster, and safer. It’s who we are and what we do. It’s in our code.
Offices: 8283 Greensboro Drive, McLean, VA 22102, US
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