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Full time
Technology
VA

GIS Operations Officer

VantorMc Lean, Virginia🇺🇸United StatesPosted 4 Sept 2026

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Mc Lean, Virginia, United States
GCPMicroservicesSQLSQL ServerAWSETLAgileAzureContinuous ImprovementData PipelineGISGitJavaScriptPythonREST

Job Description

Vantor seeks a GIS Operations Officer to lead the design, deployment, and optimization of GIS-enabled software solutions for client operations. You will manage end-to-end GIS workflows, integrate spatial data into modern web apps, and collaborate with engineers, data teams, and clients to translate business needs into scalable, cloud-based geospatial services. Responsibilities include administering GIS platforms, overseeing spatial data quality, building automation pipelines, defining standards, monitoring performance, and ensuring secure, reliable operations. You'll work in an agile, low-ego environment with strong opportunities for growth across data, cloud, and full-stack delivery.

Responsibilities

  • Design and oversee GIS-enabled operational solutions for client projects
  • Administer and optimize GIS platforms, services, and infrastructure
  • Integrate spatial data into web applications and cloud-based services
  • Develop and maintain automated data ingestion and processing pipelines
  • Ensure spatial data quality, governance, and security standards
  • Monitor performance, reliability, and uptime of GIS operations
  • Collaborate with software, data, and cloud engineers in agile teams
  • Translate client operational needs into scalable GIS workflows
  • Document architectures, standards, and runbooks for GIS operations
  • Support troubleshooting, incident response, and continuous improvement

Required Skills

  • GIS platforms (e.g., Arc
  • GIS, QGIS)
  • Spatial databases (Post
  • GIS, SQL Server, etc.)
  • Python or JavaScript for geospatial automation
  • Web mapping frameworks (Leaflet, Mapbox, Arc
  • GIS API)
  • Cloud platforms (AWS, Azure, or GCP)
  • ETL and data pipeline tools for spatial data
  • REST APIs and microservices for geospatial services
  • Linux/Windows server administration for GIS deployments
  • Data modeling and spatial analysis techniques
  • Version control (Git) and agile delivery practices

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