GIS Operations Officer

Vantor Inc.
McLean, VA, United States
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$125,000.0 - $165,000.0
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Microsoft Azure Cloud Computing Extract Transform Load (ETL) Linux Spatial Databases Python (Programming Language) Uptime Microsoft SQL Server Windows Servers
+11 more
Quantum GIS (QGIS) Cloud Services Spatial Data Infrastructures Web Applications Data Ingestion Git Performance Monitor Restful APIs Software Version Control Data Pipelines Microservices

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., * 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

Requirements

  • 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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