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# Senior Software Engineer - MAVEN (Hybrid)

- **Company:** Jfl Consulting, Llc
- **Location:** Springfield, VA, United States
- **Experience:** Expert
- **Salary:** $170,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** ArcGIS (Software), Big Data, Cyber Security, Data Integration, Python (Programming Language), Apache Maven, Operational Data Store, Software Engineering, TypeScript, Esri GIS (Software), ReactJS, SC Clearance, Information Technology, Real Time Data
- **Published:** July 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b4c64706d85c29c8

## About the Role

* Bachelor's degree in computer science/engineering, or related field, or equivalent experience.
 * 8+ years of software engineering experience, including development of geospatial, visualization, or common operating picture (COP) applications.
 * 2+ years of direct experience developing on Palantir Foundry, AIP, or Maven Smart System.
 * IAT Level II certification (e.g., Security+ CE, CySA+, CCNA Security, GSEC).
 * Minimum Secret clearance.

Preferred Qualifications:

 * Experience with geospatial stacks (Esri/ArcGIS, Cesium, Mapbox).
 * Experience with TypeScript/React.
 * Python experience.
 * Experience with Ontology/data modeling (OWL/RDF-adjacent).

## Description

We're looking for a Senior Software Engineer to develop advanced common operating picture (COP), geospatial visualization, and data integration capabilities that support critical national security missions. You'll work on a hands-on engineering team building operational software using Palantir Foundry and MAVEN Smart System (MSS), delivering tools that enable analysts and operators to make timely, informed decisions., * Design and develop common operating picture (COP) and geospatial visualization capabilities.

 * Build on Palantir Foundry/AIP/MSS where applicable.
 * Integrate sensor detections, operational data, and real-time data feeds.
 * Build intuitive analyst workflows and user-facing applications.
 * Optimize visualization performance for large-scale datasets.


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