> Markdown version of [/jobs/ext/3876835-forward-deployed-engineer-secret-cleared](https://www.wearedevelopers.com/jobs/ext/3876835-forward-deployed-engineer-secret-cleared). 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). --- # Forward Deployed Engineer (Secret cleared) - **Company:** Accenture - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $120,400.0 - $234,700.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Automation of Tests, C++ (Programming Language), Information Systems, Computer Programming, Continuous Integration, Information Engineering, Data Files, Data Integration, Data Systems, Python (Programming Language), Machine Learning, Node.Js, Object-Oriented Software Development, Software Deployment, Software Engineering, TypeScript, Unstructured Data, Ontology Design, ReactJS, Flask (Web Framework), Large Language Models, Palantir Foundry, Backend, Pyspark, Git Flow, Information Technology, Data Pipelines - **Published:** October 22, 2026 - **Apply:** https://dejobs.org/x/x/A410A9D84E6E4C80A3E167E7A0D32AA6/job/ ## About the Role * US Citizen * Active DoD Secret clearance * Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Hands-on experience with Palantir Foundry, including: * Data pipeline development and maintenance * Data integration and ingestion * Dataset management * Ontology design and implementation * Application deployment * Strong background in React and TypeScript within Foundry using the OSDK and custom widgets alongside Workshop * Strong programming skills in Python, Java, C++, TypeScript/JavaScript, or similar languages. * Experience building and supporting production-grade software and data solutions. * Experience working with both structured and unstructured data at scale. * Strong analytical and problem-solving skills. * Foundation in machine learning concepts and technologies. * Excellent communication and collaboration skills. * Ability to work independently and take ownership of deliverables. Preferred experience: * Experience building solutions utilizing Large Language Models (LLMs) * Experience delivering software and analytical products that drive measurable business outcomes. * Experience working directly with clients in embedded or consulting-style environments. * Demonstrated commitment to customer success and solving complex business challenges. ## Description We are seeking a Senior Data Engineer to design, build, and deploy scalable data solutions that drive meaningful business outcomes. In this role, you will work closely with engineers, program managers, and client stakeholders to transform complex data into actionable insights, production-grade applications, and mission-critical workflows.This position requires strong expertise in Palantir Foundry, modern data engineering practices, and software development, along with the ability to thrive in fast-paced, client-focused environments., * Build modern, component-driven applications in React and TypeScript within Foundry using the OSDK and custom widgets alongside Workshop * Develop robust data transformations using PySpark, Polars, or similar distributed/columnar frameworks * Develop and maintain server-side interfaces and APIs using Node.js, Flask, or equivalent technologies * Implement engineering best practices across Git workflows, CI/CD pipelines, automated testing, and development tooling * Apply strong object modeling and TypeScript abstraction patterns-interfaces, type hierarchies, reusable schemas-to ensure maintainable and scalable application design * Partner with analytics and application teams to integrate pipelines, ontologies, and backend logic into unified enterprise workflows * Contribute to software design, prototyping, and rapid iteration of application features and enhancements * Communicate clearly with both technical and non-technical audiences to ensure alignment and transparency