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Gis Python Developer Remote Jobs in Denver, CO (NOW HIRING)

Alignerr

Data Platform Engineer (Python)

Denver, CO · Remote

Experience with distributed systems or developer tooling Why Join Us * Work directly with leading AI labs on systems that influence how next-generation models are built * Fully remote and flexible ...

Vero Networks

Outside Plant Engineer

Denver, CO · On-site +1

$60K - $90K/yr

This role requires strong technical proficiency in GIS, CAD, aerial make-ready engineering, and ... This is a Remote position. * The schedule for this position is Monday through Friday during ...

Vero Networks

Outside Plant Engineer

Denver, CO · Remote

$60K - $90K/yr

This role requires strong technical proficiency in GIS, CAD, aerial make-ready engineering, and ... This is a Remote position. * The schedule for this position is Monday through Friday during ...

Zayo

Data Analytics Engineer

Denver, CO · Remote

$77K - $118K/yr

Write and optimize SQL and Python code for advanced data manipulation, automation, and validation ... Familiarity with CI/CD tools (e.g., GitHub, Azure DevOps). * Experience implementing data quality ...

Capital Rx

Full Stack Software Developer

Denver, CO · On-site +1

$86K - $136K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to ... Strong Python (Flask/SQLAlchemy) and TypeScript (React) experience. * Experience withPostgreSQL ...

Foresight Diagnostics Inc.

DevOps Engineer

Aurora, CO · Remote

$53.50 - $73.50/hr

Boulder, CO · Full-Time · Remote The scientists and engineers building our MRD cancer detection ... Building and maintaining automation scripts in Python and Shell/Bash to reduce manual operations ...

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Gis Python Developer Remote information

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

As of Jun 8, 2026, the average hourly pay for gis python developer remote in Denver, CO is $60.34, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.56 per hour, depending on experience, location, and employer.

What is a GIS Python Developer (Remote)?

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 (Remote), and why are they important?

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 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 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 are popular job titles related to Gis Python Developer Remote jobs in Denver, CO? For Gis Python Developer Remote jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Gis Python Developer Remote jobs in Denver, CO look for? The top searched job categories for Gis Python Developer Remote jobs in Denver, CO are:
Gis Python Developer Remote jobs near you
Infographic showing various Gis Python Developer Remote job openings in Denver, CO as of May 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $125,503 per year, or $60.3 per hour.

Data Platform Engineer (Python)

Alignerr

Denver, CO • Remote

Other

Posted 4 days ago

Job description

Data Platform Engineer (Python)
About the Role
What if your Python expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve next-generation models.
This is a fully remote, flexible contract role for experienced engineers who want to work on real production systems - not toy projects - at the cutting edge of AI development.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Improve reliability, performance, and safety across existing Python codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-grade fixes
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions
Who You Are
  • Native or fluent English speaker with clear written and verbal communication skills
  • Full-stack developer with a strong systems programming background
  • 5+ years of professional experience writing production Python for data engineering
  • Proficient with workflow orchestration tools for managing complex dependency graphs
  • Experienced with dataframe processing libraries and cloud data warehouse integrations via Python SDKs
  • Able to commit 20-40 hours per week with reliability and consistency
Nice to Have
  • Prior experience with data annotation, data quality pipelines, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
  • Experience with distributed systems or developer tooling
Why Join Us
  • Work directly with leading AI labs on systems that influence how next-generation models are built
  • Fully remote and flexible - work from anywhere, on a schedule that suits you
  • Tackle genuinely hard, high-impact engineering problems - not maintenance tickets
  • Collaborate with a sharp, distributed team of engineers and researchers
  • Potential for ongoing work and contract extension as new projects launch

Apply