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Geospatial Developer Jobs in California (NOW HIRING)

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$123.14K - $202.49K/yr

If you are passionate about geospatial technologies, AI-driven data quality management, and ... Build scalable ML pipelines and data engineering processes to improve overall system architecture

GeoDelphi

Software Engineer

San Francisco, CA · Remote

... geospatial intelligence, pushing the boundaries of location intelligence and data modeling. You'll ... This position is a mid-to-senior level non-management software developer and reports to the VP of ...

The Marlin Alliance

Data Engineer

San Diego, CA

$121.60K - $146K/yr

... geospatial engineer, machine learning engineer, or software engineer ... Hands on Keyboard- Developer Skillsets * Fluency in Python, can code without Modern libraries.

The Marlin Alliance

Data Engineer

San Diego, CA · On-site

$122.90K - $147.60K/yr

... geospatial engineer, machine learning engineer, or software engineer ... Hands on Keyboard- Developer Skillsets * Fluency in Python, can code without Modern libraries.

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$61.7K

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How much do geospatial developer jobs pay per year?

As of May 30, 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 are the key skills and qualifications needed to thrive in the Geospatial Developer position, and why are they important?

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 typical projects or responsibilities for a Geospatial Developer?

Geospatial Developers often work on projects involving the creation of interactive web maps, developing custom GIS software solutions, or integrating spatial data into business applications. Daily tasks may include analyzing spatial datasets, designing geospatial algorithms, maintaining spatial databases, and collaborating with data scientists, GIS analysts, and end users to define project requirements. You may also be responsible for automating spatial processes or supporting cloud-based mapping platforms, depending on the organization's needs. The role provides dynamic opportunities to tackle complex problems in industries like urban planning, environmental science, and logistics.
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What are popular job titles related to Geospatial Developer jobs in CA? 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 May 2026, with employment types broken down into 100% Full Time. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $76,342 per year, or $36.7 per hour.

Machine Learning SWE Lead - Geospatial, Bellwether

X, the moonshot factory

Mountain View, CA • On-site

Full-time

Posted 18 days ago

Job description

M a c h i n e L e a r n i n g S W E L e a d - G e o s p a t i a l , B e l l w e t h e r
Software Engineering Mountain View, CA (HQ)
About X, the Moonshot Factory
X is a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world's most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.
About the Team:
Our team - Bellwether - operates at the intersection of machine learning, geospatial data, and pressing issues with enterprise customers, governments, and more. We focus on severe weather manifestations of climate change, such as wildfires, and aim to use a wide range of data and analytics to better understand and predict what these events could mean for communities and businesses across the globe. We do this through the detection and classification of the features and patterns of the natural and built worlds, the application of cutting-edge machine learning, and the redesign of the full geo-ML workflow. This work extends into development and production-level work as well, as Bellwether also has a number of products that are live with customers. The result: tools and models that allow a range of industries to better leverage earth observation insights.
About the role:
You will be a hands-on Machine Learning engineer, contributing to all aspects of the project's development and deployment of applications. We are looking for a motivated expert level ML Engineer with broad experience across systems architecture and design in one or more cloud platforms. This role would guide machine learning for Bellwether's real-world products, and is not a research-based role.
Our team is small but mighty and highly collaborative, and values pair programming and cooperative ideation. We are committed to agile principles and rely heavily on this framework for efficient sprints and cycles. We are looking for passionate and driven people, who are comfortable moving between creative, big-picture thinking and specifics of how to execute. We operate in a fast-paced, fluid environment as our team moves from early stage development into production phases.
How you will make 10x impact:
  • Embracing your ability to be a ML 'expert generalist', enjoying the fluidity of moving from architecting new production systems, to machine learning, to security and monitoring. From high level strategy to specific tactics.
  • Help drive and execute key decisions on software architecture and features, balancing business needs and our technology roadmap, balancing longevity with rapid prototyping
  • Contribute as a key team member to the creation of new systems and processes to ensure high quality development, deployment, and maintenance of live applications in production environments
  • Create and maintain Google Cloud Platform-based infrastructure for software development and high-volume production systems.
  • Present findings to team members, internal and external stakeholders, and help set a direction for future development.

What you should have:
  • BS/MS in Computer Science or equivalent practical experience
  • 7 years experience with the machine learning development pipeline: research, experimentation, and ML-Ops
  • Expertise in ML frameworks (e.g., PyTorch, TensorFlow/Keras/JAX) and Python libraries (e.g., NumPy, SciPy, Pandas).
  • Experience with numerous common software design patterns (for example, Observer, Decorator, Visitor, Producer/Consumer, etc).
  • Experience with open source tools such as: Git, TensorFlow, Apache Beam/Dataflow, Google Compute Engine.
  • Python proficiency.
  • Experience working on an early stage project and environment where prototype technologies are evolved into a production phase.
  • An ability to thrive in an Agile-driven team: iteratively sprinting toward goals and products, contributing new ideas, standards, and processes.
  • Experience interfacing with customers

It'd be great if you also had these:
  • Production-level experience in the geospatial industry, with a wide variety of tasks, including code development, designing for, implementing, and managing security measures and controls, troubleshooting and debugging, designing and implementing code testing processes, and monitoring deployed application's performance and health.
  • Experience working with a wide variety of geospatial data
  • Experience in Machine Learning Operations - scaling existing machine learning applications into production

The US base salary range for this full-time position is $197,000 - $311,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .

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