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Vantor

AI-powered multi-source geospatial intelligence platform

Senior Geospatial Analyst

Data ManagementConfirmed live in the last 24 hours
Full-timeMcLean, VA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Geography, GIS, Geospatial Science, Computer Science, Engineering, or a related technical field, or equivalent experience.
  • An appropriate security clearance; the role requires an active U.S. Government TS/SCI clearance with required polygraph, and applicants without the required clearance are ineligible.
  • Five or more years of professional GIS or geospatial data-management experience.
  • Experience using ArcPro or another comparable desktop GIS application.
  • Experience working with multiple geospatial data types, formats, and sources.
  • Experience maintaining or updating geodatabases.
  • Experience working with Oracle and/or PostgreSQL databases.
  • Experience with PostgreSQL/PostGIS or comparable spatial database technology.
  • Experience creating, editing, transforming, and validating spatial geometries.
  • Experience with topology creation, maintenance, and validation.
  • Experience managing geospatial attribution, schemas, domains, subtypes, and metadata.
  • Experience performing data compatibility testing, quality control, and quality assurance.
  • Strong SQL skills and the ability to investigate and resolve data issues.
  • Experience developing or executing repeatable data-validation or quality-assessment procedures.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently while collaborating effectively within a multidisciplinary team.

Responsibilities

  • Create, edit, update, and maintain geospatial data using ArcGIS Pro/QGIS.
  • Work with a variety of geospatial data types and sources, including vector, raster, imagery, web services, and externally provided datasets.
  • Maintain and update global geospatial datasets within enterprise geodatabases.
  • Support the transition of geospatial data from Oracle to PostgreSQL/PostGIS.
  • Create, modify, and validate spatial geometries, including points, lines, polygons, and other geometry types.
  • Maintain spatial topology and identify, resolve, and document topology errors.
  • Create, update, and validate feature attributes, domains, subtypes, schemas, and related metadata.
  • Perform data transformations, migrations, conflation, and integration activities as required.
  • Develop and execute data tests to evaluate compatibility with target systems, applications, schemas, and databases.
  • Conduct data quality control and quality assurance reviews to identify errors, inconsistencies, missing information, invalid geometries, and attribution issues.
  • Develop repeatable procedures for data validation, quality assessment, and error tracking.
  • Perform spatial analysis and produce accurate, well-designed geospatial products.
  • Troubleshoot data and database issues.
  • Support the publication and maintenance of GIS services, web maps, and geodatabases.
  • Document data sources, processing steps, validation procedures, identified issues, and corrective actions.
  • Collaborate with developers, database administrators, project managers, system administrators, and mission stakeholders to resolve data and application issues.
  • Stay current with relevant ArcGIS, QGIS, PostgreSQL/PostGIS, and geospatial data-management capabilities.

Desired Qualifications

  • Experience supporting an Oracle-to-PostgreSQL/PostGIS migration.
  • Experience with Python, ArcPy, or other scripting tools for geospatial automation and data validation.
  • Experience with ArcGIS Enterprise, Portal for ArcGIS, hosted feature services, map services, and web maps.
  • Experience with ArcGIS Experience Builder, Dashboards, StoryMaps, Survey123, Field Maps, QuickCapture, or Instant Apps.
  • Experience integrating data from APIs, web services, imagery sources, or other external systems.
  • Experience working with large or complex geospatial datasets.
  • Experience with enterprise data modeling and geospatial database design.
  • Experience supporting Department of Defense or Intelligence Community customers.
  • ESRI technical certification or comparable professional training.
  • Active security clearance or the ability to obtain and maintain one.

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

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