Software Engineer
Palantir Application Developer at Guidehouse builds end‑to‑end data solutions on the Palantir Foundry platform, creating scalable pipelines, transformations, and governance workflows to deliver trusted, user‑ready analytics applications.
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We are seeking a Palantir Application Developer to design, build, and enhance mission-focused applications and analytics products on the Palantir Foundry platform. This role is responsible for developing end-to-end solutions that transform raw data into trusted, governed datasets and user-ready applications using Foundry capabilities such as Pipelines , Transformations , Ontology , Workshops , governance workflows, and operational monitoring.
The ideal candidate has hands-on experience building scalable applications and data products in enterprise environments and is comfortable working across product, data, engineering, security, and operations teams. This role supports operational and analytical use cases, including case management , reporting, and workflow automation, often in environments that manage PII / PHI / CUI and require strong compliance , auditability , and secure delivery practices.
This is an excellent opportunity for a builder who enjoys delivering polished applications, enabling trusted data-driven operations, and working within a governed enterprise platform to support mission outcomes.
What You Will Do
Palantir Foundry Application Development
Design, develop, and enhance Palantir Foundry applications that support case management , program operations, reporting, dashboards, and operational analytics.
Build user-facing solutions using Workshops and other Foundry application development patterns with a focus on usability, performance, and reliability.
Translate business and product requirements into scalable, production-ready features and workflow tools.
Data Products, Pipelines, and Transformations
Build and maintain Foundry Pipelines and Transformations that create curated, analytics-ready datasets for operational and reporting use cases.
Apply strong data modeling practices, reusable transformation logic, and maintainable data product design patterns.
Optimize jobs for maintainability, scheduling, dependency management, and operational robustness.
Ontology and Workflow Enablement
Design and implement Ontology objects, relationships, properties, and actions that power application functionality and workflow automation.
Align ontology design with business concepts, case management semantics, entity definitions, and downstream analytics needs.
Support consistent and trusted entity representation across datasets and operational workflows.
Governance, Security, and Compliance
Implement governance controls, policies, access models, and permissioning constructs to support secure-by-default delivery.
Apply secure data handling practices appropriate for environments containing PII / PHI / CUI .
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Posted June 21, 2026