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Gis Python Developer Remote Jobs in Virginia Beach, VA

Ztek Consulting INC

AWS DevOPS/SRE Engineer

Norfolk, VA · Remote

$58.25 - $77.50/hr

AWS DevOPS/SRE Engineer REMOTE Top Skills Required : Devops Eng with strong AWS experience - DevOps ... Scripting experience in Python, Bash, or similar * Experience in Linux system administration ...

Commence

Full Stack Software Engineer

Virginia Beach, VA · Remote

$105K - $135K/yr

NET, React, Bootstrap, Python, PHP (Laravel), and C#. * Build and integrate RESTful APIs to enable ... This is a remote position. Candidates must be able to sit, read, work on a computer, and watch a ...

Commence

Sr Site Reliability Engineer

Virginia Beach, VA · On-site +1

$145K - $175K/yr

... or DevOps roles. * Exceptional problem-solving under pressure-demonstrated track record of ... Proficiency in at least one scripting or systems language (Python, Go, Bash, or similar) for ...

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Gis Python Developer Remote information

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$12

$55

$81

How much do gis python developer remote jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for gis python developer remote in Virginia Beach, VA is $55.63, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $63.17 per hour, depending on experience, location, and employer.

What is a GIS Python developer?

A GIS Python Developer (Remote) is a software developer who specializes in using the Python programming language to work with Geographic Information Systems (GIS) while working from a remote location. Their primary responsibilities include creating, maintaining, and optimizing geospatial data processing applications, automating GIS workflows, and integrating spatial data with various software platforms. They often use libraries like ArcPy, GeoPandas, and GDAL, and collaborate with teams on mapping, analysis, and visualization projects. Remote GIS Python Developers need strong programming and GIS skills, as well as the ability to communicate and manage projects virtually.

What are the key skills and qualifications needed to thrive as a GIS Python developer?

To thrive as a GIS Python Developer working remotely, you need strong proficiency in GIS concepts, spatial data analysis, Python programming, and a relevant degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, GDAL/OGR, and libraries like GeoPandas and Shapely, along with experience using version control systems like Git, is typically required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating with distributed teams and managing projects independently. These skills and qualities are vital for delivering accurate geospatial solutions, ensuring effective teamwork, and adapting to a remote work environment.

What are some common challenges faced by remote GIS Python developers, and how can they be effectively addressed?

Remote GIS Python Developers often encounter challenges such as collaborating across time zones, accessing large spatial datasets, and integrating with diverse geospatial systems. Effective communication with team members using collaboration tools, establishing clear version control practices, and leveraging cloud-based geospatial platforms can help address these hurdles. Additionally, regularly participating in virtual meetings and code reviews fosters alignment and knowledge sharing among distributed teams.

What is the difference between Gis Python Developer Remote vs GIS Analyst?

AspectGis Python Developer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python programming skillsBachelor's in Geography, GIS, or related field; GIS software proficiency
Work EnvironmentRemote, often collaborative with development teamsOn-site or remote, focused on data analysis and mapping
Industry UsageTech, environmental, urban planning companiesGovernment agencies, consulting firms, environmental organizations
Common Search/ComparisonYesNo

Gis Python Developers remote focus on coding, software development, and automation using Python, often working on GIS applications. In contrast, GIS Analysts primarily analyze spatial data and create maps. While both roles require GIS knowledge, the developer role emphasizes programming skills and software creation, whereas the analyst role centers on data interpretation and reporting.

What are popular job titles related to Gis Python Developer Remote jobs in Virginia Beach, VA?

For Gis Python Developer Remote jobs in Virginia Beach, VA, the most frequently searched job titles are:

What job categories do people searching Gis Python Developer Remote jobs in Virginia Beach, VA look for?

The top searched job categories for Gis Python Developer Remote jobs in Virginia Beach, VA are:

What cities near Virginia Beach, VA are hiring for Gis Python Developer Remote jobs?

Cities near Virginia Beach, VA with the most Gis Python Developer Remote job openings:

Gis Python Developer Remote jobs near you
Infographic showing various Gis Python Developer Remote job openings in Virginia Beach, VA as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,717 per year, or $55.6 per hour.

AWS DevOPS/SRE Engineer

Ztek Consulting INC

Norfolk, VA • Remote

$58.25 - $77.50/hr

Contractor

Re-posted 14 days ago

Job description

AWS DevOPS/SRE Engineer

REMOTE
Top Skills Required :
Devops Eng with strong AWS experience - DevOps/SRE related
AWS, Terraform, Kubernetes, Monitoring
Job Description/ Responsibilities :
Key Responsibilities
Technical Skills
• Strong hands-on experience with AWS cloud services
• Expertise in Terraform (mandatory) for Infrastructure as Code
• Working knowledge of Kubernetes (EKS preferred) and container orchestration
• Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps, etc.)
• Strong experience in monitoring & observability tools (CloudWatch, Prometheus, Grafana, ELK)
• Scripting experience in Python, Bash, or similar
• Experience in Linux system administration
DevOps / SRE Expertise
• Strong understanding of DevOps principles and SRE practices
• Experience implementing high-availability, fault-tolerant systems
• Knowledge of incident management, root cause analysis, and performance tuning