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 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), data governance, and security models within enterprise platforms
- Experience with RMF/A&A processes including ATT and ATO documentation
Clearance & Compliance Requirements
- Must possess and maintain an active TS/SCI clearance throughout the period of performance
- Must self‑report security issues, foreign contacts, and other applicable matters per SEAD 3
- Must comply with all NISPOM (32 CFR Part 117) and DD Form 254 requirements
- Must adhere to physical security requirements including restrictions on prohibited items in NGA or secure facilities
- Must comply with DFARS 252.204‑7012 requirements for handling Controlled Unclassified Information (CUI)
- Must participate in contractor insider threat program consistent with E.O. 13587
Work Environment
Work will be performed at NGA (Springfield, VA) and/or approved contractor facilities. Classified work at contractor sites requires an approved SCIF with requisite Common Operating Environment (COE) connectivity; this must be in place at time of award. Government will provide desk space and network connectivity at NGA-Washington to support shoulder-to-shoulder collaboration with mission users. Personnel must be available to support work at Unclassified, Secret, and TS/SCI classification levels.
Preferred Qualifications
- Master's degree preferred; equivalent relevant experience may substitute
- Experience with Target Workbench v2 ontology and implementation of custom Workshops/Slates into Target Workbench tabs
- Familiarity with SOM (Structured Object Management), as well as PHOEBE or equivalent NGA tools
- Object relational mapping (create Object types)
- Methods for ensuring data health and data quality
- Familiarity with NGA analytic mission workflows, GEOINT data types, and related data management systems
- Experience with Computer Vision (CV), Natural Language Processing (NLP), or Machine Learning (ML) in a geospatial context
- Palantir Developer certifications or formal Palantir training credentials
- Experience supporting NGA, DIA, NRO, or other IC/DoD intelligence community programs
- Experience with Elastic and cloud-native data infrastructure on AWS GovCloud or C2E-compliant environments
- Prior experience with transition planning and knowledge transfer to O&M sustainment contractors
- Strong UX/UI design sensibility with experience applying human‑centered design practices
Radiance Technologies is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Employee-Ownership
Radiance is a proud employee-owned company! Employee-ownership benefits both our customers and workforce, and ensures that Radiance doesn’t have to answer to stockholders or be driven by quarterly earnings reports. Thus, Radiance will always prioritize enhancing our customer’s mission over expanding our bottom line. We are singularly focused on providing our customers with game-changing solutions to their most challenging requirements. This is only possible because employee-ownership attracts the highest quality employees, empowers them to identify capability enhancements, and provides them with the freedom to take risks to deliver high-quality solutions. Employee-ownership also provides tangible and long‑term financial security for our people and their families. Therefore, employee-ownership embodies participation, empowerment, freedom, teaming, excellence, accountability, mission focus, and security.
Our Culture
Radiance’s culture is driven by our commitment to our customers and our employee-owners. Our employee-owners thrive on entrepreneurship, empowerment, and mutual responsibility for growth and sustainability. Our culture consists of individuals who embody technical and leadership skills to deliver superior solutions to the nation’s toughest technical challenges. We believe building trust and credibility with our customers leads to long‑term results. We invest in a superior technical workforce where leaders are developed, innovation is encouraged, and achievements are recognized. We seek innovative ways to improve, experiment, take risks, foster collaboration, and empower our employee-owners.
Our Values
Our values drive our culture, business model, and daily interactions. These values constantly remind us of who we are and what we do. Our employee-owners influence how we operate our business. We relentlessly pursue operating excellence by innovating, improving our processes, and reducing waste. We believe in being wise and ethical stewards of capital and resources. Our values dictate how we interact with each other and our customers, partners, and suppliers. Honesty, trust, humanity, alignment, and value creation require that we treat our employees with dignity and respect and provide them with fair compensation and equal employment opportunity. We believe in connecting with our communities and have a responsibility to be good corporate citizens, and we believe in sustainable business practices, which include supporting the environment and the communities in which we work.