Mid Level Forward Deployed Engineer

PVM•Colorado Springs, CO

1d•Onsite

About The Position

As a Mid-Level Forward Deployed Engineer (FDE), you will contribute directly to the development and delivery of Palantir capabilities. You will build analytical dashboard features, support CI/CD pipeline tasks, and work within a structured agile environment alongside senior engineers and government stakeholders. You will operate in two-week sprint cycles, contributing to feature delivery from design through deployment. At our organization, an FDE takes ownership of their work — building reliable features, writing meaningful code, and ensuring each sprint increment is production-ready.

Requirements

3+ years of software engineering experience
Experience with Python, TypeScript, or Java in cloud-based data platforms
Experience working in government, defense, or classified environments
Ability to independently build features, test them, and deliver production-ready functionality
Comfortable working in small, fast-moving technical teams

Nice To Haves

Hands-on experience with Palantir Foundry, including pipelines, Workshop/Slate, and Ontology

Responsibilities

Provide embedded engineering support for the Palantir system, working alongside operational users and senior engineers to deliver mission-aligned capabilities
Perform data integration and ontology engineering tasks, including building and maintaining pipelines, implementing metric definitions, and aligning data transformations to the Foundry Ontology to ensure consistent interpretation across the platform
Develop workflows, applications, dashboards, and AI-enabled features using Foundry's Workshop/Slate application layer under guidance from senior engineers
Participate in intake, triage, and solution framing activities — helping translate user needs and stakeholder requests into well-scoped engineering work
Contribute to production hardening and transition efforts, including CI/CD pipeline configuration, build scripts, automated tests, and environment promotion workflows to ensure features are deployment-ready
Support sustainment and iterative improvement operations by resolving defects, delivering incremental enhancements, and maintaining stable operations across deployed capabilities
Produce clear technical documentation, including configuration notes, runbooks, and sprint artifacts
Participate in sprint planning, daily standups, sprint reviews, and demonstrations for government stakeholders
Conduct testing and validation to confirm workflows, dashboards, and AI features function correctly and that data aligns with approved definitions
Identify integration issues, surface blockers early, and collaborate with senior engineers to resolve them