Remote GIS Enterprise & SQL Apps Developer

City of Portland

Portland (OR)

Hybrid

USD 90,000 - 130,000

Full time

16 hours ago
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Job summary

City of Portland is seeking a GIS Enterprise Spatial and SQL Applications Developer to maintain and enhance geospatial systems, primarily within SQL Server geodatabases on the Esri ArcGIS platform. You will design spatial data models, implement ETL processes, and develop desktop and web GIS applications.

You'll work with GIS professionals, developers, analysts, and project managers to deliver reliable geospatial services across the organization, improving performance, data integrity, and

Qualifications

  • Experience applying GIS, RDBMS, and BI principles.
  • Experience developing geospatial apps using ESRI tech (ArcGIS Pro/Enterprise/Online).
  • Experience programming with Python, SQL, XML/JSON, and REST APIs.

Responsibilities

  • Maintain and design enterprise geodatabases in SQL Server.
  • Develop and optimize data workflows and ETL processes.
  • Build GIS apps using Esri development tools and SDKs.
  • Collaborate with GIS professionals, developers and analysts to meet requirements.
  • Document technical standards, procedures, and coding guidance.

Skills

Spatial databases
ArcGIS development
Automation & integration
Analytical problem-solving
Communication
Team collaboration
Organization & accountability

Education

GIS or IT degree/certification

Tools

ArcGIS Pro
ArcGIS Enterprise
ArcGIS Online
ArcGIS SDK for .NET
ArcGIS API for Python
SQL Server
FME
Python
Visual Studio
REST APIs

Job description

City of Portland is seeking a GIS Enterprise Spatial and SQL Applications Developer to maintain and enhance geospatial systems, primarily within SQL Server geodatabases on the Esri ArcGIS platform. You will design spatial data models, implement ETL processes, and develop desktop and web GIS applications.

You'll work with GIS professionals, developers, analysts, and project managers to deliver reliable geospatial services across the organization, improving performance, data integrity, and

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