Jobs · Engineering · Virginia

Forward Deployed Engineer (Secret cleared)

Accenture Federal Services · Arlington, VA · 5 days ago
Engineering$120k–$235k/yrFull-time

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

About the role

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.

Responsibilities

  • 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

Requirements

  • 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 qualifications

  • 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

Pay

The base pay range for this position in California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is $120,400—$234,700 USD. Compensation varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience.

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