Palantir Developer

Guidehouse•Tysons Corner, VA

About The Position

Guidehouse seeks a Palantir Developer to support the Department of Defense by designing, building, and operating data solutions in the Vantage platform. The role uses Palantir Foundry to provide authoritative, decision-grade financial and operational insights, with a focus on scalable data solutions in secure federal cloud environments and financial, budgetary, and execution data. The developer designs and maintains Foundry Workshop Modules, end-to-end data pipelines, data models, Delta tables, curated datasets, and data products. The role supports financial reporting, PPBE workflows, auditability, mission analytics, data lineage, repeatable analytics, and integrations across Advana and downstream Foundry use cases. Work includes secure cloud-native deployments, data quality and reconciliation capabilities, modernization and migration, production troubleshooting, and documentation for compliance and accreditation. The developer partners with functional subject-matter experts, financial analysts, platform engineers, and governance teams, and stays current on relevant data engineering, analytics, and DevSecOps practices.

Requirements

Active and maintained Secret federal or DoD security clearance.
Bachelor’s degree.
Three years of experience in data engineering, analytics engineering, or software development; preferably in regulated or federal environments.
Palantir Foundry experience.
Experience with Python, SQL, PySpark, and Spark-based data processing.
Experience building or supporting Palantir Foundry data solutions, including pipelines, transforms, datasets, and data lineage.
Experience with relational and analytical data stores such as Databricks, Oracle, Postgres, or SQL Server, and sound data modeling principles.
Experience handling federal financial data, including budget, execution, and accounting data, with an understanding of data controls and reconciliation needs.

Nice To Haves

Bachelor’s degree in computer science, Information Systems, Engineering, or a related field, or equivalent practical experience.
Direct experience supporting DoD financial, PPBE, comptroller, or audit-related programs.
Ability to operate independently in a fast-paced, mission-focused environment.
Strong analytical, troubleshooting, and communication skills, including the ability to explain complex technical concepts to technical and non-technical audiences.
Familiarity with Git-based version control, CI/CD concepts, and Agile delivery methodologies in secure environments.
Prior experience working in the Advana/Vantage ecosystems or adjacent DoD enterprise analytics platforms.
Palantir, AWS, Azure, or Databricks certifications.
Familiarity with data governance, metadata management, lineage, and access controls in classified or controlled unclassified environments.
Understanding of DoD data, security, and compliance frameworks, including RMF and ATO processes.
Previous consulting experience supporting federal or defense clients.

Responsibilities

Design, develop, and maintain Workshop Modules in Palantir Foundry.
Design, develop, and maintain end-to-end Palantir data pipelines to ingest, transform, and curate structured and semi-structured data from authoritative DoD source systems.
Engineer and optimize data models, Delta tables, and curated datasets for financial reporting, PPBE workflows, auditability, and mission analytics within Advana and downstream Foundry use cases.
Develop, maintain, and deploy Foundry pipelines, transforms, and data products to enable traceability, lineage, and repeatable analytics workflows.
Implement and manage CI/CD and version-controlled data engineering workflows using Git-based repositories and automated deployment patterns aligned with DoD security and ATO requirements.
Build and deploy cloud-native solutions in secure AWS and Azure environments, supporting IL4/IL5 architectures as applicable and using containerization where approved.
Partner with functional SMEs, financial analysts, platform engineers, and governance teams to ensure pipelines conform to DoD financial data standards, business rules, and controls.
Implement data quality, reconciliation, validation, and monitoring capabilities to support financial accuracy, audit readiness, and confidence in reported metrics.
Support data integration, modernization, and migration efforts, including onboarding legacy financial systems and transitioning workloads to Databricks and Foundry within Advana.
Troubleshoot and resolve pipeline, performance, and data integrity issues in production environments to support high availability and reliability.
Document data flows, engineering designs, and operational procedures for compliance, knowledge transfer, and platform accreditation.
Stay current on data engineering, analytics platform, and DevSecOps practices relevant to DoD enterprise data environments.