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Part Time Python Gis Developer Jobs in McKinney, TX

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Part Time Python Gis Developer information

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$12

$54

$80

How much do part time python gis developer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for part time python gis developer in McKinney, TX is $54.40, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $61.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Python GIS Developer, and why are they important?

To thrive as a Part Time Python GIS Developer, you need strong proficiency in Python programming, spatial data analysis, and a background in GIS concepts, often supported by a degree in computer science, geography, or a related field. Familiarity with tools like ArcGIS, QGIS, and libraries such as GDAL, GeoPandas, and Shapely, as well as experience with version control systems, is essential. Excellent problem-solving skills, attention to detail, and effective communication help you collaborate efficiently and deliver precise geospatial solutions. These skills and qualities ensure accurate spatial data processing, reliable project delivery, and successful teamwork in dynamic, project-based environments.

How does a part-time Python GIS Developer typically collaborate with other team members on geospatial projects?

As a part-time Python GIS Developer, you’ll often work closely with GIS analysts, project managers, and data scientists to develop, maintain, or improve geospatial applications and tools. Collaboration usually involves participating in remote meetings, sharing code and documentation through platforms like Git or cloud services, and providing technical input on project requirements. Communication is key, especially since part-time roles may require effective hand-offs and regular status updates to ensure continuity across the team. This collaborative environment allows you to contribute to complex projects while maintaining a flexible schedule.

What does a Part Time Python GIS Developer do?

A Part Time Python GIS Developer is responsible for designing, developing, and maintaining geographic information system (GIS) applications using the Python programming language. They typically work on spatial data analysis, automation of GIS workflows, and integration of GIS data with other systems. Their work may involve using libraries like ArcPy, GeoPandas, or QGIS to process geospatial data, create maps, and develop tools that help organizations make data-driven decisions. Since the role is part-time, these developers often work flexible hours or on a project basis.

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

AspectPart Time Python GIS DeveloperGIS Analyst
Required SkillsPython programming, GIS software, spatial data analysisGIS software proficiency, spatial data analysis, cartography
Work EnvironmentProject-based, flexible hours, remote or on-siteOffice-based, full-time or part-time, collaborative teams
Industry UsageTech firms, environmental agencies, mapping servicesGovernment agencies, urban planning, environmental consulting

Part Time Python GIS Developers focus on coding, software development, and technical GIS tasks, often working on specific projects. GIS Analysts handle spatial data analysis, mapping, and reporting, typically in a more data interpretation role. While both roles require GIS knowledge, the developer emphasizes programming skills, whereas the analyst emphasizes data analysis and visualization.

What are the most commonly searched types of Python Gis Developer jobs in McKinney, TX? The most popular types of Python Gis Developer jobs in McKinney, TX are:
Part Time Python Gis Developer jobs near you

Material Scientist with Python - Freelance AI Trainer

Mindrift

Dallas, TX • On-site

$76/hr

Part-time

Posted 18 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may: 

  • Design original material engineering problems that simulate real engineering workflows;
  • Create problems requiring Python programming to solve engineering calculations and simulations;
  • Ensure problems are computationally intensive and require numerical methods or iterative solutions;
  • Develop problems involving system design, optimization, and analysis;
  • Base problems on real research challenges or practical applications from engineering practice;
  • Verify solutions using Python with standard engineering libraries;
  • Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for material scientists & engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  

  • Degree in Material Science or related fields; 
  • Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
  • 2+ years of professional experience: applied, research, or teaching experience is applicable;
  • Understanding of practical engineering constraints and approximations;
  • Strong written English (C1+).

How it works

Apply Pass qualification(s) Join a project Complete tasks Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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