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Spatial Data Science Jobs in California (NOW HIRING)

Esri

Spatial Data Engineer I

Redlands, CA · On-site

$115K - $138K/yr

As a Spatial Data Engineer on the geocoding team, you will work with massive spatial data from both ... Bachelor's degree in computer science, information systems, GIS, or related field Recommended ...

Apple

Data Scientist

Cupertino, CA · On-site

As Data Science organization, our goal is to harness the power of user data to help Maps make great ... spatial data analysis Prior proven industry experience with large data sets using technologies like ...

Apple

Data Scientist

Cupertino, CA

$144K - $263K/yr

As Data Science organization, our goal is to harness the power of user data to help Maps make great ... spatial data analysis Prior proven industry experience with large data sets using technologies like ...

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

Inspect, validate, and verify the integrity of 3D spatial data, point cloud processing, and ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ...

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

Inspect, validate, and verify the integrity of 3D spatial data, point cloud processing, and ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ...

OMS Group

GIS and Data Specialist

Pleasant Hill, CA · On-site

$28 - $35/hr

Qualifications: o Bachelor's degree in GIS, Data Analytics, Environmental Science, Geography, or a related field o 2-4 years of experience in data or spatial analysis, preferably supporting utility ...

kgs

Navy SEPASS Data Scientist

Monterey, CA · On-site

... spatial analysis techniques and programming frameworks. This position requires an active TS/SCI ... Master of Science degree: 6-8 years of experience in a related field. * PhD: 3-5 years of ...

Koniag, Inc.

Navy SEPASS Data Scientist

Monterey, CA · On-site

$195K - $205K/yr

... spatial analysis techniques and programming frameworks. This position requires an active TS/SCI ... Master of Science degree: 6-8 years of experience in a related field. * PhD: 3-5 years of ...

kgs

Navy SEPASS Data Scientist

Monterey, CA · On-site

... spatial analysis techniques and programming frameworks. This position requires an active TS/SCI ... Master of Science degree: 6-8 years of experience in a related field. * PhD: 3-5 years of ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a ... Previous experience working with geospatial analytics and spatial datasets. * Experience with large ...

Apple

Video Content Data Scientist

Culver City, CA · On-site

... spatial audio, world-class workouts and meditations, super fun games and more! The Apple Media Products Data Science & Analytics organization is passionate about developing discerning insights and ...

SuperbTech

GIS Analyst

Whittier, CA

$45 - $55/hr

Perform quality control and validation of spatial data * Support ongoing GIS operations, data ... Bachelor's degree in GIS, Geography, Engineering, Computer Science , or a related field * 3-5 years ...

SuperbTech

GIS Analyst

Whittier, CA · On-site

$45 - $55/hr

Perform quality control and validation of spatial data * Support ongoing GIS operations, data ... Bachelor's degree in GIS, Geography, Engineering, Computer Science , or a related field * 3-5 years ...

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All JobsSpatial Data Science JobsSpatial Data Science Jobs in California

Spatial Data Science information

See California salary details

$43.9K

$128K

$175.2K

How much do spatial data science jobs pay per year?

As of Aug 4, 2026, the average yearly pay for spatial data science in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

What are the key skills and qualifications needed to thrive as a spatial data scientist, and why are they important?

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What is the difference between Spatial Data Science vs Geospatial Analyst?

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.
What are popular job titles related to Spatial Data Science jobs in California? For Spatial Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in California look for? The top searched job categories for Spatial Data Science jobs in California are:
What cities in California are hiring for Spatial Data Science jobs? Cities in California with the most Spatial Data Science job openings:
Spatial Data Science jobs near you
Infographic showing various Spatial Data Science job openings in California as of July 2026, with employment types broken down into 17% Internship, 66% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Spatial Data Engineer I

Esri

Redlands, CA • On-site

$115K - $138K/yr

Other

Posted 7 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies

Job description

Overview

Esri's ArcGIS World Geocoding solutions deliver global search and geocoding capabilities to organizations across the world. Search and geocoding are used in a wide range of applications across the ArcGIS platform such as where to open your retail store, how to best allocate resources for delivering packages, or where is, and how do I get to, my favorite coffee shop?

As a Spatial Data Engineer on the geocoding team, you will work with massive spatial data from both commercial and open sources. You'll be asked to master data specifications, automate processes for acquiring and loading spatial datasets, transform those datasets into normalized data models, and work with product teams to ensure continuous quality improvements driven by the best available content.

If you are passionate about data and geospatial technology, join the geocoding team because you can't have "The Science of Where" if you don't know where to start!

Responsibilities

  • Analyze, enhance, prepare and load spatial data into normalized databases on regular intervals
  • Write and maintain Python and SQL scripts for data processing and loading
  • Evaluate new data sources for quality and attribution to support product requirements
  • Review data specifications and changes, adjust scripts and processes where necessary

Requirements

  • 1+ years of experience developing Python scripts or tools
  • Familiarity writing scripts to perform spatial operations, advanced queries, and joins in SQL
  • Familiarity working with large, normalized databases
  • Prior experience with ETL workflows
  • Ability to manage priorities and tasks as needed in a fast-paced work environment
  • A keen attention to detail and drive to resolve any issues encountered
  • Bachelor's degree in computer science, information systems, GIS, or related field

Recommended Qualifications

  • Experience creating stored procedures for optimizing common tasks and operations
  • Experience working with ArcMap, ArcGIS Pro, and ArcGIS geoprocessing
  • Prior experience with geocoding, geocoding data, or address data
  • Knowledge of Agile software development using Scrum
  • Prior experience with software development and release of commercial software product

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What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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