Palantir Developer

Guidehouse seeks a Palantir Developer to support the Department of Defense (DoD) by designing, building, and operating data solutions in the Vantage platform, leveraging Palantir Foundry to enable authoritative, decision‑grade financial and operational insights. The ideal candidate will have strong hands‑on experience engineering scalable data solutions in secure federal cloud environments and working with financial, budgetary, and execution data. Job Family : Data Engineering & Architecture Consulting Travel Required : Up to 25% Clearance Required : Active Secret What You Will Do Design, develop, and maintain Workshop Modules in Palantir Foundry. Design, develop, and maintain end‑to‑end data pipelines using Palantir 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 to support 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, enabling traceability, lineage, and repeatable analytics workflows for DoD stakeholders. 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 leveraging containerization where approved. Partner with functional SMEs, financial analysts, platform engineers, and governance teams to ensure data pipelines conform to DoD financial data standards, business rules, and controls. Implement robust 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, ensuring high availability and reliability in mission‑critical systems. Document data flows, engineering designs, and operational procedures to support compliance, knowledge transfer, and platform accreditation. Stay current on emerging data engineering, analytics platform, and DevSecOps best practices relevant to DoD enterprise data environments. What You Will Need An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance Bachelor’s degree FIVE (5) years of experience in data engineering, analytics engineering, or software development, preferably in regulated or federal environments. Palantir Foundry experience Experience with Palantir, including Workshop; experience supporting or integrating with DoD Advana/ Vantage is highly desirable. Experience in Python, SQL, PySpark, and Spark‑based data processing. Experience building or supporting data solutions using Palantir Foundry, including pipelines, transforms, datasets, and data lineage. Experience working with relational and analytical data stores (e.g., Databricks, Oracle, Postgres, SQL Server) and applying sound data modeling principles. Experience handling federal financial data, including budget, execution, and accounting data, with an understanding of data controls and reconciliation needs. What Would Be Nice To Have 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 translate complex technical concepts for both technical and non‑technical audiences. Familiarity with Git‑based version control, CI/CD concepts, and Agile delivery methodologies in secure environments. Prior experience working directly within the Advana/Vantage ecosystems or adjacent DoD enterprise analytics platforms. Certifications (Palantir, AWS, Azure, Databricks). Familiarity with data governance, metadata management, lineage, and access controls in classified or controlled unclassified environments. Understanding of DoD data, security, and compliance frameworks (e.g., RMF, ATO processes). Previous consulting experience supporting federal or defense clients. The annual salary range for this position is $85,000.00-$141,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. #J-18808-Ljbffr Guidehouse