> Markdown version of [/jobs/ext/3550552-palantir-engineer](https://www.wearedevelopers.com/jobs/ext/3550552-palantir-engineer). 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 Engineer - **Company:** Nat Booz Allen - **Location:** United States - **Experience:** Expert - **Salary:** $99,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Continuous Integration, Data Visualization, Geospatial Intelligence, Python (Programming Language), Machine Learning, Apache Maven, Software Engineering, TypeScript, Software Repository, Git, Devsecops - **Published:** September 30, 2026 - **Apply:** https://www.thejobnetwork.com/job/92445972-42b3-42c2-9fab-ef39beef6fb2/palantir-engineer-lead ## About the Role n 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 DoD clients. As a senior machine learning engineer on our core Palantir team, you'll train, test, deploy, and maintain models that learn from data. \n, * 5+ years of experience in data operations such as data science, data engineering, and data platforms, AI and ML, or software development \n * 3+ years of experience in a facet of Palantir, including data modeling, ontology mapping, or data visualization \n * 3+ years of experience with Python or TypeScript \n * 3+ years of experience with Pipeline Builder, AIP, and Foundry's application development ecosystems \n * Ability to work in a fast-paced, Agile environment, * Experience working with various teams within the Department of Defense \n * Experience working Databricks \n * Experience working in mission-oriented analytics or logistics-based data environments \n * Experience with Git-based code repositories and CI/CD workflows \n * Knowledge of GEOINT collection and associated systems \n * Knowledge of working with Maven Smart Systems, including AIP \n * Knowledge of DevSecOps best practices and software lifecycle methodologies \n * Possession of excellent problem-solving skills ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Valven Atlas: Engineering Intelligence That Delivers](https://www.wearedevelopers.com/videos/1660-valven-atlas-engineering-intelligence-that-delivers) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems) - [Dev Digest 231: Pelicanmaxxing, Interview Hacking, RSS Revival & LLM Clichés](https://www.wearedevelopers.com/magazine/748-dev-digest-231-pelicanmaxxing-interview-hacking-rss-revival-llm-cliches)