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Geospatial Engineer Jobs in California (NOW HIRING)

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

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 ...

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

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 ...

Precise Systems

Senior Software Engineer

San Diego, CA

$124K - $164K/yr

At least 10 years experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, IT specialist, machine ...

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 ...

Precise Systems

Senior Software Engineer

San Diego, CA · On-site

$130K - $171K/yr

At least 10 years experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, IT specialist, machine ...

BKF

Geospatial Technical Specialist

Riverside, CA · On-site +1

$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 ...

The Marlin Alliance

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

Required Skills and Experience: * 5 - 10 years' experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer ...

The Marlin Alliance

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

Required Skills and Experience: * 5 - 10 years' experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer ...

The Marlin Alliance

Data Engineer

San Diego, CA · On-site

$122K - $147K/yr

Required Skills and Experience: * 5 - 10 years' experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer ...

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All JobsGeospatial Engineer JobsGeospatial Engineer Jobs in California

Geospatial Engineer information

See California salary details

$5

$46

$88

How much do geospatial engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for geospatial engineer in California is $46.02, according to ZipRecruiter salary data. Most workers in this role earn between $35.34 and $56.92 per hour, depending on experience, location, and employer.

What is a geospatial engineer?

A geospatial engineer uses modern mapping technologies, such as GIS and GPS, to map, collect, and analyze geographic data. They work with mapping or visualization tools to create 2D or 3D maps of building sites, national parks, or other locations of interest. Geospatial engineers also locate archeological sites or potential sites for civil engineering projects, such as dams or bridges. To pursue a career as a geospatial engineer, you need a bachelor’s degree in engineering, geography, geographic information systems, or a related field. Other qualifications include proficiency in mapping software, strong data analysis skills, and job experience in the industry.

What are the key skills and qualifications needed to thrive as a geospatial engineer, and why are they important?

To thrive as a Geospatial Engineer, you need a strong background in geography, cartography, GIS, and spatial data analysis, typically supported by a relevant bachelor's degree. Proficiency with GIS software like ArcGIS or QGIS, remote sensing tools, and possibly certifications such as GISP are common requirements. Strong problem-solving skills, attention to detail, and effective communication are standout soft skills in this field. These skills and qualifications are crucial for accurately analyzing spatial data, creating reliable maps, and supporting informed decision-making across various industries.

How does a geospatial engineer typically collaborate with other departments within an organization?

Geospatial Engineers frequently work alongside professionals from various departments, such as urban planners, civil engineers, environmental scientists, and IT specialists. Collaboration often involves integrating spatial data into broader project workflows, providing technical expertise on mapping technologies, and ensuring that geospatial solutions align with organizational goals. Effective communication and teamwork are essential, as Geospatial Engineers must translate complex data into actionable insights for non-technical stakeholders and support cross-functional projects. This collaborative environment offers opportunities to develop both technical and interpersonal skills, contributing to professional growth.

What is the difference between Geospatial Engineer vs GIS Analyst?

AspectGeospatial EngineerGIS Analyst
Required CredentialsBachelor's in Geospatial Science, GIS, or related field; certifications like GISPBachelor's in Geography, GIS, or related; certifications like GISP
Work EnvironmentFieldwork, data collection, GIS software developmentData analysis, map creation, spatial data management
Employer & IndustryEngineering firms, government agencies, tech companiesGovernment agencies, urban planning, environmental organizations
Common Search & ComparisonYesYes

While both Geospatial Engineers and GIS Analysts work with spatial data, Geospatial Engineers focus more on developing GIS systems, managing data infrastructure, and integrating geospatial technology into engineering projects. GIS Analysts primarily analyze spatial data, create maps, and support decision-making through data visualization. Both roles require similar credentials and often collaborate, but their core responsibilities differ in scope and application.

Is GIS still in demand?

Geospatial engineers and GIS professionals are in steady demand due to the increasing reliance on spatial data for urban planning, environmental management, and infrastructure development. Skills in GIS software, data analysis, and remote sensing are highly valued across government, private, and research sectors.

What does a geospatial engineer do?

A geospatial engineer analyzes and interprets geographic data using GIS (Geographic Information Systems), remote sensing, and mapping tools. They develop spatial models, create maps, and support projects related to land use, environmental management, or infrastructure planning, often requiring proficiency in software like ArcGIS or QGIS. The role typically involves data collection, analysis, and visualization to support decision-making processes.

What is the average salary of a geospatial engineer?

The average salary of a geospatial engineer typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with advanced skills in GIS software, remote sensing, and data analysis tend to earn higher salaries.
More about Geospatial Engineer jobs

What are the most commonly searched types of Geospatial Engineer jobs in California?

The most popular types of Geospatial Engineer jobs in California are:

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

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

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

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

What cities in California are hiring for Geospatial Engineer jobs?

Cities in California with the most Geospatial Engineer job openings:

What are popular job titles related to Geospatial Engineer jobs in CA?

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

Geospatial Engineer jobs near you
Infographic showing various Geospatial Engineer job openings in California as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $95,719 per year, or $46 per hour.

GIS/Geospatial Expert

YO AI Labs

San Francisco, CA • Remote

$80 - $100/hr

Full-time

Posted 9 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.