Palantir Foundry Software Engineer

Place of Performance: Hybrid — NGA-Washington (Springfield, VA) with contractor site flexibility; significant on-site presence strongly encouraged

 Employment Type: Full-Time Travel: Continental United States (CONUS) travel may be required; minimum 3 business days' advance notice provided

Key Responsibilities

• Design, develop, test, and deploy geospatial analytic applications within Palantir Foundry, Palantir Gaia, and other Palantir platforms using government-approved SDKs, APIs, and integration frameworks
• Develop custom embedded applications using TypeScript with the Ontology Software Development Kit (OSDK)
• Build and configure UI screens, dashboards, and workflow steps using Foundry tools such as Workshop and Slate
• Implement and maintain data pipelines using Python and/or TypeScript to ingest, transform, and normalize internal and external GEOINT data feeds
• Ensure applications support interactive geospatial analysis including mapping, spatial querying, geofencing, clustering, custom objects, custom workflow applications, and temporal analysis

Data Integration & Ontology

• Map, transform, and normalize incoming data to align with Government-specified object ontologies and data schemas
• Design and create object types, actions, and linkages to support data ontologization
• Implement logic to ensure data quality, prevent duplication, and preserve consistency of object IDs across disparate data sources
• Enable seamless interoperability with external geospatial data sources and APIs including ESRI MapServices/FeatureServices, OpenStreetMap, and OGC WMS/WFS services
• Develop low-code and no-code data pipelines for normalizing and structuring analytic data

Solution Architecture & Design

• Elicit, document, and refine end-to-end user workflows and technical requirements for GEOINT object management and analysis
• Design and document system architectures for workflows and data connections, aligned with the Government's Builder's Guidebook
• Define data identity, de-duplication, object history, and data provenance rules
• Define acceptance criteria and "definition of done" for each required capability

Data Science & Analytics

• Develop and implement matching algorithms and scoring methods to link new observations to existing geospatial objects
• Build and deploy analytics to highlight changes, anomalies, or inconsistencies in object data for analyst review
• Create and monitor data quality checks to flag missing metadata, weak sourcing, or invalid attribute values
• Develop algorithms for correlating multiple datasets across multi-modal data types including EO, SAR, FMV, HMI, and vector data

Required Qualifications

Security

• Active Top Secret / SCI security clearance required at time of application
• Must be willing and eligible to undergo a Counterintelligence (CI) Scope Polygraph examination; must complete within 90 days of assignment if not completed within the past 5 years

Education

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Geographic Information Systems (GIS), or a related technical field

Experience

• 5+ years of software development experience in an enterprise or mission-critical environment
• 2+ years of hands-on experience developing on Palantir Foundry or other Palantir platforms (e.g., Gaia, AIP)
• Demonstrated experience with TypeScript and/or Python for application and pipeline development
• Experience with geospatial data types including EO, SAR, FMV, HMI, vector, and raster datasets
• Experience supporting agile software development in an intelligence, DoD, or national security context
• Experience with Processing, Exploitation, and Dissemination (PED) workflows strongly preferred

Technical Skills

• Proficiency with Palantir Foundry tools including Workshop, Slate, Contour, and the Ontology SDK
• Experience with Palantir "Foundry Builder" development activities using Developer Access Licenses (DALs)
• Familiarity with geospatial APIs and standards: ESRI REST services, OpenStreetMap, OGC WMS/WFS
• Knowledge of database systems and configurations including AWS cloud infrastructure and Elasticsearch
• Experience developing and deploying data pipelines for large-scale data ingestion, transformation, and normalization
• Understanding of role-based access controls (RBAC