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Spatial Data Analyst Jobs in California (NOW HIRING)

Robot.com

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Knowledge of spatial data wrangling and best practices for warehousing and consumption ... Department Robot.com Role Data & Analytics Locations San Francisco Remote status Hybrid

Terrestris LLC

Senior GIS Specialist

Sacramento, CA · On-site +1

  • Medical

  • Retirement

  • PTO

Develop, configure, and maintain GIS applications, databases, automation tools, processing models, and analytical workflows. * Design and manage geodatabases, data structures, metadata, and spatial ...

Esri

System Engineer- Enterprise Data Engineer

Redlands, CA · On-site

$107K - $133K/yr

... analysis, design, build/configuration, and deployment • Configure and maintain database ... such as spatial data types, coordinate systems, and spatial indexing • Ability to clearly ...

Innova Solutions, Inc

Data Platform Engineer

Sacramento, CA · On-site

$60 - $68/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Databricks, ArcGIS Python API, Spatial data, Unity Catalog, AWS S3, Python, SQL We are looking for ... data and analytics platforms. Key Responsibilities: * Design, develop, and optimize Databricks ...

Esri

Sr. Product Engineer - Geodatabase

Redlands, CA · On-site

... analysis of spatial data. Join our team if you have a passion for working with databases and spatial data! Esri has a Relocation Assistance Program and can provide support with relocating to the ...

City of San Gabriel, CA

GIS Analyst

San Gabriel, CA · On-site

$90K - $109K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The GIS Analyst provides technical expertise in managing and analyzing spatial data as well as software related issues. This class differs from Information Systems Specialist due to its focus and ...

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All JobsSpatial Data Analyst JobsSpatial Data Analyst Jobs in California

Spatial Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do spatial data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for spatial data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a spatial data analyst might work on?

Spatial Data Analysts often work on a variety of projects involving the collection, management, and analysis of geographic data, such as mapping environmental patterns, optimizing logistics routes, or supporting urban planning initiatives. On a daily basis, they may clean and process datasets, generate detailed maps, create visualizations and reports, and provide insights to inform project decisions. Collaboration with engineers, urban planners, environmental scientists, and IT professionals is common, making teamwork and clear communication essential. These tasks are integral to helping organizations make data-driven decisions that rely on spatial information.

What does a spatial data analyst do?

A Spatial Data Analyst collects, analyzes, and interprets geographic and spatial data to support decision-making in various industries. They use Geographic Information Systems (GIS) and other analytical tools to visualize patterns, create maps, and develop models based on spatial data. Their work helps businesses, governments, and organizations optimize operations, plan infrastructure, and manage resources effectively.

Is a spatial data analyst in demand?

Yes, spatial data analysts are in demand due to the increasing use of geographic information systems (GIS) across industries such as urban planning, transportation, and environmental management. Employers seek professionals skilled in GIS software, data visualization, and spatial analysis to support decision-making and infrastructure development.

What are the key skills and qualifications needed to thrive in the spatial data analyst position, and why are they important?

To thrive as a Spatial Data Analyst, you need strong skills in GIS (Geographic Information Systems), spatial data analysis, database management, and a solid understanding of geography or related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, SQL, Python, and sometimes certifications such as GISP are highly valuable. Attention to detail, problem-solving abilities, and effective communication enhance collaboration with teams and stakeholders. These competencies ensure accurate spatial analysis, meaningful data-driven insights, and effective decision-making in diverse industries.

What is a spatial data analyst?

A spatial data analyst is a professional who collects, analyzes, and interprets geographic data to support decision-making. They often use GIS (Geographic Information Systems) tools and spatial analysis techniques to visualize patterns and solve location-based problems.

What are the most commonly searched types of Spatial Data Analyst jobs in California?

The most popular types of Spatial Data Analyst jobs in California are:

What are popular job titles related to Spatial Data Analyst jobs in California?

For Spatial Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Spatial Data Analyst jobs in California look for?

The top searched job categories for Spatial Data Analyst jobs in California are:

What cities in California are hiring for Spatial Data Analyst jobs?

Cities in California with the most Spatial Data Analyst job openings:

Spatial Data Analyst jobs near you
Infographic showing various Spatial Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Engineer

Robot.com

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Re-posted 18 days ago

Job description

About Kiwibot:
Kiwibot is at the forefront of robotic delivery solutions, transforming urban logistics with autonomous technology. Our mission is to make last-mile delivery efficient, sustainable, and accessible. We are a data-driven company, and our Data Team is crucial to our success, enabling intelligent decision-making, optimizing robot performance, and supporting our rapid growth.
The Opportunity:
We are seeking a highly skilled and motivated Data Engineer to join our dynamic Data Team. This critical role will be instrumental in designing, developing, and maintaining our robust data architecture and pipelines, ensuring data quality, and providing essential data support for our AI and Robotics initiatives. The ideal candidate will be an end-to-end data professional, capable of leading complex projects, collaborating with cross-functional teams, and upholding the highest standards of data governance and security.
Key Responsibilities:
  • Data Pipeline Development & Management:
    • Design, develop, and maintain scalable, reliable, and efficient ETL/ELT pipelines for batch and real-time data processing (e.g., MQTT/Kafka data ingestion).
    • Manage and optimize our data warehousing solutions, primarily Google BigQuery, ensuring efficient data storage, querying, and cost-effectiveness.
    • Implement and maintain data quality assertions across all data pipelines to ensure data integrity from source to consumption.
    • Develop and integrate new data sources into our existing data ecosystem.
    • Troubleshoot and resolve data pipeline issues, ensuring minimal disruption to data availability.
  • Data Support:
    • Collaborate closely with company teams to understand their data needs and develop tailored data solutions.
    • Design and implement data workflows to support machine learning workflows
    • Contribute to the development of data-driven insights that improve robot autonomy and performance.
  • Data Architecture & Infrastructure:
    • Contribute to the design and evolution of our overall data architecture, ensuring scalability, performance, and maintainability.
    • Implement and adhere to best practices for data modeling, schema design, and data governance.
    • Work with cloud infrastructure (GCP preferred) to deploy and manage data services.
    • Knowledge of spatial data wrangling and best practices for warehousing and consumption.
  • Monitoring, Reporting & Dashboards:
    • Develop and maintain monitoring solutions for data pipeline health and performance.
    • Ensure data consistency and accuracy in reporting tools.
  • Team Collaboration & Leadership:
    • Collaborate effectively with cross-functional teams to gather requirements and deliver data solutions.
    • Mentor junior team members and contribute to a culture of continuous learning and knowledge sharing within the data team.
    • Take ownership of projects from conception to deployment, ensuring timely and high-quality deliverables.

Technical Skills & Qualifications:
  • Required:
    • Strong proficiency in Python for data engineering and scripting.
    • Extensive experience with SQL and relational databases (PostgreSQL preferred).
    • Proven expertise with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Storage,, Cloud Functions.
    • Experience designing, building, and maintaining robust ETL/ELT data pipelines.
    • Familiarity with data orchestration tools (e.g., Apache Airflow,).
    • Experience with real-time data processing technologies (e.g., Kafka, MQTT).
    • Understanding of data modeling techniques (e.g., dimensional modeling, Kimball).
    • Familiarity with version control systems (Git/GitHub).

  • Plus:
    • Exposure to AI/ML data pipelines and MLOps principles.
    • Knowledge of AI Agents for internal product development.
    • Familiarity with containerization technologies (Docker, Kubernetes).

Exposure to companies KPIs and OKRs among other performance metrics.
Department Robot.com Role Data & Analytics Locations San Francisco Remote status Hybrid

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