Senior Palantir Foundry Data Engineer

Accenture PLC; Arlington (VA); On-site; USD 120,000 - 235,000; Full time

Job summary

Accenture Federal Services in Arlington, VA seeks a Senior Data Engineer to design, build, and deploy scalable data solutions leveraging Palantir Foundry and modern data engineering practices.

You will collaborate with engineers, PMs, and client stakeholders to transform complex data into actionable insights and mission-critical workflows, applying TS/JS, Python, PySpark, and CI/CD to deliver production-grade systems.

Qualifications

• US Citizen
• Active DoD Secret clearance
• Bachelor's degree in CS/Engineering/IS or related field with Hands-on Palantir Foundry experience
• Data pipeline development and ingestion
• Data management and ontology design/implementation
• Application deployment and production-grade software

Responsibilities

• Build modern, component-driven apps in React/TypeScript within Foundry using OSDK and Workshop
• Develop robust data transformations using PySpark/Polars
• Develop and maintain server-side interfaces and APIs (Node.js/Flask)
• Apply engineering best practices across Git workflows and CI/CD
• Model data with interfaces, type hierarchies, reusable schemas
• Integrate pipelines and backend logic into enterprise workflows
• Contribute to design, prototyping, and rapid feature iteration
• Communicate clearly with technical and non-technical stakeholders

Skills

Palantir Foundry

React & TypeScript

Python

Java

C++

TypeScript/JavaScript

Data pipeline development

Machine learning concepts

Communication

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

OSDK

Workshop

Node.js

Flask

PySpark

Polars

Job description

Accenture Federal Services in Arlington, VA seeks a Senior Data Engineer to design, build, and deploy scalable data solutions leveraging Palantir Foundry and modern data engineering practices.

You will collaborate with engineers, PMs, and client stakeholders to transform complex data into actionable insights and mission-critical workflows, applying TS/JS, Python, PySpark, and CI/CD to deliver production-grade systems.