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Financial Management (FM) Palantir Data Analyst (Analyst and Manager Levels), Department of War (DoW), Secret Clearance

US🌐 Remote💼 Full-time🗓 2026-10-05 → 2026-10-07
Remote · from United StatesSecurity clearance required

Core

Design, develop, and enhance modern financial management solutions within the Vantage platform using Palantir Foundry to modernize federal financial data, reporting, and decision-making capabilities.

Role type

Senior IC data engineer (financial management) / Manager-level data engineering lead (via careerplan.io/jobs/11574432-d301-4ae7-9427-0d3944704f35-financial-management-fm-palantir-data-analyst-analyst-and-manager-levels-department-of-war)

Builds

Foundry-based data pipelines, transforms, datasets, and Workshop applications for financial analysis and reporting

Domain

Federal financial management / Defense technology

Required skills

Palantir Foundry, Palantir Workshop, Python, SQL, PySpark, Spark, Databricks, Oracle, PostgreSQL, SQL Server, data modeling, data governance, federal financial data (budgeting, execution, accounting)

Preferred skills

Computer Science degree, DoW financial/PPBE/comptroller experience, federal financial systems (GFEBS, Navy ERP, DAI, DEAMS), federal accounting concepts (Treasury Financial Manual, OMB Circular A-123, SFFAS, USSGL), Advana/Vantage experience, Git/CI/CD/Agile, security compliance (RMF, ATO), Palantir/AWS/Azure/Databricks certifications

Responsibilities

Design and develop modern financial management solutions in Vantage using Palantir Foundry; Build and support Foundry-based data solutions including pipelines and data lineage; Develop Palantir Workshop applications for financial analysis and reporting; Develop data-processing solutions using Python, SQL, PySpark, and Spark; Work with relational and analytical data platforms applying sound data modeling principles; Support integration with DoD Advana/Vantage and other enterprise analytics platforms; Work with federal financial data covering budgeting, execution, accounting, and related processes; Apply data controls, validation, and reconciliation practices to maintain data accuracy; Troubleshoot complex data and application issues; Contribute to data governance, metadata management, and secure data practices; (Manager-level) Supervise and mentor project team members and lead multidisciplinary teams; (Manager-level) Engage senior stakeholders and influence decisions on financial transformation initiatives

Seniority

Senior, hands-on IC / Manager, leadership & mentorship