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Geospatial Developer Jobs in California (NOW HIRING)

YO AI Labs

GIS/Geospatial Expert

San Jose, CA · Remote

$80 - $100/hr

Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . * Direct hands-on experience using AI coding agents, particularly ...

YO AI Labs

GIS/Geospatial Expert

San Francisco, CA · Remote

$80 - $100/hr

Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . * Direct hands-on experience using AI coding agents, particularly ...

YO AI Labs

GIS/Geospatial Expert

Los Angeles, CA · Remote

$80 - $100/hr

Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . * Direct hands-on experience using AI coding agents, particularly ...

YO AI Labs

GIS/Geospatial Expert

Palo Alto, CA · Remote

$80 - $100/hr

Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . * Direct hands-on experience using AI coding agents, particularly ...

BKF

Geospatial Technical Specialist

Riverside, CA · On-site

$83K - $166K/yr

BKF is a multi-service infrastructure consulting firm providing civil engineering, construction ... BKF is hiring a senior geospatial analyst to join our ArcGIS team. The ideal candidate would be an ...

Basepoint

Geospatial Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Four or more years in data engineering with substantial geospatial work. Strong SQL and PostGIS, plus Python or TypeScript for pipeline code. Experience with tiling (PMTiles, MVT, or similar ...

New

Esri

Application Developer - JavaScript

Redlands, CA

... of Esri's geospatial tools and technology, with an emphasis on applying web-based ArcGIS ... Bachelor's degree in computer science, engineering, mathematics, GIS, or related field * Ability to ...

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Geospatial Developer information

See California salary details

$61.7K

$76.3K

$91.3K

How much do geospatial developer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for geospatial developer in California is $76,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,600.00 and $80,900.00 per year, depending on experience, location, and employer.

What does a geospatial developer do?

A Geospatial Developer designs, develops, and maintains applications that process and visualize geographic data. They use programming languages like Python, JavaScript, or SQL along with GIS technologies such as QGIS, ArcGIS, and web mapping libraries like Leaflet or Mapbox. Their work supports industries like urban planning, agriculture, transportation, and environmental science by building tools that analyze spatial relationships and trends.

What skills and qualifications are needed to thrive as a geospatial developer?

To thrive as a Geospatial Developer, you need strong programming skills (such as Python or JavaScript), expertise in GIS technologies, and a relevant degree in computer science, geography, or a related field. Familiarity with tools like Esri ArcGIS, QGIS, PostGIS, and experience with spatial databases and web mapping frameworks are highly valued, as are certifications from institutions like GISP or Esri. Strong analytical thinking, problem-solving ability, and effective communication skills help you work seamlessly across multidisciplinary teams. These qualifications and abilities are critical for building, integrating, and optimizing geospatial solutions that support informed decision-making.

What are popular job titles related to Geospatial Developer jobs in California?

For Geospatial Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Geospatial Developer jobs in California look for?

The top searched job categories for Geospatial Developer jobs in California are:

What cities in California are hiring for Geospatial Developer jobs?

Cities in California with the most Geospatial Developer job openings:

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For Geospatial Developer jobs in CA, the most frequently searched job titles are:

Geospatial Developer jobs near you
Infographic showing various Geospatial Developer job openings in California as of August 2026, with employment types broken down into 85% Full Time, 2% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $76,342 per year, or $36.7 per hour.

GIS/Geospatial Expert

San Jose, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $100/hr

Full-time

Posted 18 days ago

Job description

Job Title: GIS & Geospatial AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments.

The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.

No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions.

Scope of Work
  • Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics.
  • Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.
  • Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools.
  • Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes.
  • Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes.
  • Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them.
  • Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate.
  • Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials.
  • Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment.
Required Skills
  • GIS / Geospatial Analysis
  • Remote Sensing
  • Spatial Analytics
  • Python
  • AI Coding Agents
  • Technical Documentation
  • Problem-Solving
  • Analytical Thinking
  • Written and Verbal Communication
  • Stakeholder Collaboration
Preferred Qualifications
  • Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline.
  • Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science, to solve technical problems.
  • Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects.
  • Ability to document complex technical workflows clearly for both technical and non-technical audiences.
  • Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes.
  • Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance.
  • Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms.
  • Current or recent professional engagement in a technical STEM or geospatial role.
  • Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement.
  • Ability to work independently in a remote environment while collaborating effectively with project stakeholders.