V

Vantor

AI-powered multi-source geospatial intelligence platform

Geospatial Developer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeReston, VA, USA

About the Job

Requirements

  • Current U.S. citizenship is required.
  • An active TS/SCI clearance and current CI polygraph are required.
  • At least 10 years of experience in Computer Science, GIS, Geography, or a related technical field, including at least 2 years working with the ArcGIS platform, including ArcGIS Enterprise (Server, Portal, Data Store).
  • Proficiency in Python and/or JavaScript, including the ArcGIS API for JavaScript.
  • Experience developing and deploying web-based GIS applications.
  • Familiarity with RESTful APIs, web services, and ArcGIS Online/Enterprise services.
  • Hands-on experience with PostgreSQL/PostGIS or similar spatial databases.
  • Understanding of spatial data types (vector and raster) and coordinate systems.
  • Experience with cloud platforms such as AWS or Azure, including services such as S3, EC2, or Azure Blob.
  • Ability to build and troubleshoot data pipelines and ETL processes.
  • Ability to automate creation of geospatial products and visual representations for users.
  • Experience with Git and version control systems.
  • Strong problem-solving and communication skills.
  • Willingness to work full-time onsite in Reston, Virginia.

Responsibilities

  • Design, build, and maintain custom widgets and extensions using ArcGIS Experience Builder Developer Edition with React and TypeScript.
  • Integrate custom widgets with Enterprise Portal web maps, feature services, and geoprocessing tasks.
  • Optimize client-side rendering and user experience for specialized analytical workflows.
  • Author, publish, and manage ArcGIS Enterprise and Portal services, including custom geoprocessing tools and spatial-analysis web services.
  • Expose and optimize ArcGIS Server/Portal REST endpoints, including Feature Services, Map Services, Query Services, and GeoJSON endpoints, for consumption and indexing by proprietary enterprise search engines and external indexing engines.
  • Automate data preparation and back-end tasks using Python, ArcPy, and ArcGIS API for Python to support enterprise analytic services.
  • Engineer and maintain optimized data layers, views, and back-end geodatabase architectures in ArcGIS Pro and Portal to power operational dashboards in ArcGIS Dashboards.
  • Establish automated ETL routines to synchronize spatial databases and dashboard reporting layers in real or near-real time.
  • Architect and implement complex ArcGIS Survey123 forms using advanced XLSForm logic, including cascading selects, nested repeats, dynamic calculations, custom validation expressions, and pull-data functions.
  • Integrate Survey123 workflows with webhooks, automated notifications, and post-submission geoprocessing tasks.
  • Plan and execute secure content and data migrations across ArcGIS Enterprise Portals, including development, staging, and production portals and cloud-to-cloud or tenant-to-tenant migrations.
  • Use ArcGIS API for Python to script repeatable migration pipelines for web maps, hosted feature layers, user permissions, and associated assets.
  • Deploy and administer collaborative setups that allow analysts and non-core GIS staff to ingest, view, and manipulate spatial data using ArcGIS Earth.
  • Configure connection profiles, Portal authentication, layer packages, and KML/KMZ service feeds for analyst data entry and 3D terrain visualization.
  • Work with cross-departmental stakeholders, analysts, project managers, search platform teams, and technical leads to translate workflows into technical specifications.

Desired Qualifications

  • A bachelor's degree in a related field.
  • At least 4 years of professional GIS and software development experience.
  • Experience with Docker, Kubernetes, or other container/orchestration tools in a geospatial context.
  • Experience with CI/CD pipelines and infrastructure-as-code tools such as Terraform.
  • Familiarity with ArcPy and geoprocessing services.
  • Understanding of OGC standards, including WMS, WFS, and GeoJSON.
  • Knowledge of data governance, metadata standards, and geospatial data quality assurance.
  • Experience working in Agile development teams or DevOps environments.

About the Company

Vantor

AI-powered multi-source geospatial intelligence platform

Vantor provides an AI-powered spatial intelligence platform that creates a real-time, unified picture from space, air, and ground sensors. Its Tensorglobe data engine fuses satellite imagery, drone feeds, and ground sensors to build a living 3D digital Earth and automates the entire intelligence cycle from tasking to analysis. Key products include WorldView for high-resolution imagery tasking, Raptor for GPS-denied navigation, and Sentry for automated site monitoring. Unlike competitors that mainly sell raw imagery, Vantor offers an integrated, subscription-based geospatial workflow and digital twin as a service, helping defense, intelligence, and commercial customers make faster, more informed decisions through a shared AI-ready view of the world.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Juan, Puerto Rico
Founded
1957

Recently Posted Jobs

Explore more opportunities at Vantor

See more jobs