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Gis Cloud Data Engineer Onsite Spring

  • Gis Cloud Data Engineer Onsite Spring job type Posted on: Nov 10, 2026
  • Gis Cloud Data Engineer Onsite Spring experience level SFE
  • Gis Cloud Data Engineer Onsite Spring employment type Spring, Texas
  • Gis Cloud Data Engineer Onsite Spring employment type Onsite
  • Gis Cloud Data Engineer Onsite Spring salary Full-time

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Job Title :

Gis Cloud Data Engineer Onsite Spring

Job Type :

Full-Time

Job Location :

Spring Texas United States

Remote :

No

Jobcon Logo Job Description :

Job Title: GIS Cloud Data Engineer

Location: Onsite in Spring, TX. (5Days/Week)

Job Summary:

The GIS Cloud Data Engineer is primarily focused on ArcGIS Enterprise administration, SQL geodatabase support, Python-based automation, platform reliability, and enterprise application support. The successful candidate will enhance and support geospatial data management, develop automation solutions using ArcPy, Python, FME, etc., and optimize Azure-hosted GIS infrastructure. Experience with Azure infrastructure, SQL Server/Azure SQL, and Enterprise geospatial data management is strongly preferred.

Primary Job Functions:

  • Azure Database Administration
    • Administer Azure SQL Enterprise geodatabases
    • Monitor database performance and implement optimization strategies
    • Partner with larger team on backup, recovery, disaster recovery, etc. processes and recommendations
    • Implement database security, access controls, and governance standards
    • Configure, publish, and maintain map services, geoprocessing services, feature services, and web applications
    • Perform GIS database upgrades, manage schemas, indexing, performance tuning, and health monitoring
    • Support integration of GIS services with enterprise applications and other platforms
  • Python Development & Automation
    • Develop and maintain Python applications, scripts, and automation frameworks using ArcPy and Esri APIs
    • Automate GIS data loading, validation, transformation, and publishing workflows
    • Create tools for geospatial data quality control and reporting
    • Develop integrations between ArcGIS platforms, Azure services, and enterprise systems
    • Build reusable automation solutions that reduce manual support activities and improve operational efficiency
  • GIS Support
    • Provide support for GIS applications, solutions, and databases
    • Support ETL processes for geospatial and business data
    • Participate in incident management, root cause analysis, and problem resolution
    • Collaborate with cloud engineering, cybersecurity, application development, and business teams
    • Contribute to technical roadmaps, architecture reviews, and modernization initiatives

Job Requirements:

  • 5+ years of experience administering SQL Server and/or Azure SQL environments.
  • 5+ years of ArcGIS Enterprise and Enterprise geodatabases/SDE experience
  • 3+ years of Python development experience
  • Strong understanding of GIS principles, spatial analysis, and geospatial data management
  • Experience with ArcPy, ArcGIS REST API, Web Maps, and Feature Services

Preferred Knowledge/Skills/Abilities:

  • Github and FME experience
  • Familiarity working within the Agile framework
  • Experience managing and working in disconnected Azure, Azure Networking, zero trust, Terraform

Jobcon Logo Position Details

Posted:

Nov 10, 2026

Reference Number:

86866-7542

Employment:

Full-time

City:

Spring

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: GIS Cloud Data Engineer

Location: Onsite in Spring, TX. (5Days/Week)

Job Summary:

The GIS Cloud Data Engineer is primarily focused on ArcGIS Enterprise administration, SQL geodatabase support, Python-based automation, platform reliability, and enterprise application support. The successful candidate will enhance and support geospatial data management, develop automation solutions using ArcPy, Python, FME, etc., and optimize Azure-hosted GIS infrastructure. Experience with Azure infrastructure, SQL Server/Azure SQL, and Enterprise geospatial data management is strongly preferred.

Primary Job Functions:

  • Azure Database Administration
    • Administer Azure SQL Enterprise geodatabases
    • Monitor database performance and implement optimization strategies
    • Partner with larger team on backup, recovery, disaster recovery, etc. processes and recommendations
    • Implement database security, access controls, and governance standards
    • Configure, publish, and maintain map services, geoprocessing services, feature services, and web applications
    • Perform GIS database upgrades, manage schemas, indexing, performance tuning, and health monitoring
    • Support integration of GIS services with enterprise applications and other platforms
  • Python Development & Automation
    • Develop and maintain Python applications, scripts, and automation frameworks using ArcPy and Esri APIs
    • Automate GIS data loading, validation, transformation, and publishing workflows
    • Create tools for geospatial data quality control and reporting
    • Develop integrations between ArcGIS platforms, Azure services, and enterprise systems
    • Build reusable automation solutions that reduce manual support activities and improve operational efficiency
  • GIS Support
    • Provide support for GIS applications, solutions, and databases
    • Support ETL processes for geospatial and business data
    • Participate in incident management, root cause analysis, and problem resolution
    • Collaborate with cloud engineering, cybersecurity, application development, and business teams
    • Contribute to technical roadmaps, architecture reviews, and modernization initiatives

Job Requirements:

  • 5+ years of experience administering SQL Server and/or Azure SQL environments.
  • 5+ years of ArcGIS Enterprise and Enterprise geodatabases/SDE experience
  • 3+ years of Python development experience
  • Strong understanding of GIS principles, spatial analysis, and geospatial data management
  • Experience with ArcPy, ArcGIS REST API, Web Maps, and Feature Services

Preferred Knowledge/Skills/Abilities:

  • Github and FME experience
  • Familiarity working within the Agile framework
  • Experience managing and working in disconnected Azure, Azure Networking, zero trust, Terraform

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