> Markdown version of [/jobs/ext/4706586-palantir-foundry-developer](https://www.wearedevelopers.com/jobs/ext/4706586-palantir-foundry-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Palantir Foundry Developer - **Company:** Booz Allen Hamilton Inc. - **Location:** McLean, VA, United States - **Experience:** Experienced - **Salary:** $77,600 - $176,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Continuous Integration, Information Engineering, Data Files, Software Debugging, Decision Support Systems, Python (Programming Language), Machine Learning, Systems Integration, TypeScript, Software Repository, Data Ingestion, Ontology Design, Palantir Foundry, Software Application Programming, SC Clearance, Infrastructure Automation Frameworks, Data Analytics, Data Management, Software Version Control, Data Pipelines, Programming Languages - **Published:** November 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/palantir-foundry-developer-mclean-va--41d679c5-e2a4-4938-b60e-ac801dd242da ## About the Role Machine Learning, Internet of Things, Data Sets, Artificial Intelligence (AI), Data Science, Military, Data Modeling, Ontology, Data Management, Decision Support, * 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 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 * Ability to 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 creating Data Connections, Code Repos, or Pipeline Builders for data ingestion and transformation, debugging and resolving pipeline issues, errors, and performance bottlenecks, and using programming languages such as Python or TypeScript * 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 * Secret clearance * Master's degree in CS, Engineering, Analytics, or a Technology field ## Description 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 (ML), and artificial intelligence (AI). 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 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.