Palantir Foundry Ontology Engineer

Booz Allen Hamilton Inc.
McLean, VA, United States
16 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Experience level
Experienced
Experience required
3 years minimum
Compensation
$77,600.0 - $176,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Continuous Integration Information Engineering Software Debugging Python (Programming Language) Machine Learning Systems Integration Software Repository Data Ingestion Software Application Programming SC Clearance
+6 more
Infrastructure Automation Frameworks Information Technology Data Analytics Software Version Control Data Pipelines Programming Languages

Job description

As an engineering and analytics professional,you’reexcited at the prospect of unlocking the secrets held by a data set, andyou’refascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. Your deep engineering and analyticsexpertise, 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’llintroduce innovative methodologies to make a real-world impact on protecting our military. You’llshare your skills in data engineering, data science,modeling,and technology integration to develop solutions to drive the mission forward. 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 andmaintainproduction-grade data pipelines using Foundry’s Code Repositories and Pipeline Builder with both structured and unstructured dataset inputs.
  • Design, develop, andmaintainontologies 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.

Requirements

  • 3+ years of experience in software, data analytics, or platform engineering, including in a hands-on or leadership role
  • Experience in Palantir Foundry
  • Experience with creating Data Connections, Code Repos, or Pipeline Builders for data ingestion and transformation, debugging and resolving pipeline issues,errorand performance bottlenecks, and in programming languages such as Python orTypeScript
  • Experience in Ontology design and management, designing and developing applications and workflows,and integrating AIP solutions
  • Knowledge of the core Foundry Applications and designing solutions to address client challenges
  • 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
  • Abilityto obtain a Secret clearance
  • Bachelor’s degree

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 with Git repositories, CI/CD workflows, or infrastructure automation
  • Experience with AI or ML model integration within Foundry applications
  • Knowledge of Foundry security models, access control, and compliance frameworks
  • Possession of strong analytical and problemsolving skills
  • Secret clearance
  • Master’s degree in Computer Science, Engineering,Analytics,or a technology field

Benefits & conditions

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 $77,600.00 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.

About the company

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.

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