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Senior Geospatial Data Engineer Jobs in California

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$123K - $202K/yr

Overview Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ArcGIS ...

kgs

Navy SEPASS Data Engineer

Monterey, CA

$126K - $152K/yr

Koniag IT Systems, LLC is seeking a Data Engineer to support enterprise-level geospatial intelligence (GEOINT) systems engineering efforts for our federal customers. The ideal candidate will bring ...

kgs

Navy SEPASS Data Engineer

Monterey, CA

$126K - $152K/yr

Koniag IT Systems, LLC is seeking a Data Engineer to support enterprise-level geospatial intelligence (GEOINT) systems engineering efforts for our federal customers. The ideal candidate will bring ...

Koniag, Inc.

Navy SEPASS Data Engineer

Monterey, CA · On-site

$185K - $195K/yr

Koniag IT Systems, LLC is seeking a Data Engineer to support enterprise-level geospatial intelligence (GEOINT) systems engineering efforts for our federal customers. The ideal candidate will bring ...

The Marlin Alliance

Senior Data Engineer (OpAI)

San Diego, CA · On-site

$113K - $154K/yr

The Senior Data Engineer will support complex data integration efforts, collaborate with cross ... Additional certifications in data engineering, cloud, geospatial, or cybersecurity are a plus if ...

The Marlin Alliance

Senior Data Engineer (OpAI)

San Diego, CA · On-site

$113K - $154K/yr

The Senior Data Engineer will support complex data integration efforts, collaborate with cross ... Additional certifications in data engineering, cloud, geospatial, or cybersecurity are a plus if ...

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 ...

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 ...

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 ...

Anori

Senior Backend Engineer

San Mateo, CA · On-site

Build data orchestration pipelines to manipulate geospatial, vector and text-based data * Collaborate with AI engineers to build scalable, reproducible deployment pipelines for machine learning ...

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Senior Geospatial Data Engineer information

What are the key skills and qualifications needed to thrive as a Senior Geospatial Data Engineer, and why are they important?

To thrive as a Senior Geospatial Data Engineer, you need advanced expertise in geospatial analysis, spatial databases, and programming languages like Python or SQL, often backed by a degree in GIS, computer science, or related fields. Familiarity with GIS platforms (such as ArcGIS or QGIS), cloud computing services, and big data frameworks is typically required, along with relevant certifications in GIS or cloud technologies. Strong problem-solving, communication, and project leadership skills set top performers apart in this role. These competencies are essential for designing and implementing scalable geospatial solutions that accurately support decision-making and organizational goals.

What is the difference between Senior Geospatial Data Engineer vs Geospatial Data Analyst?

AspectSenior Geospatial Data EngineerGeospatial Data Analyst
CredentialsBachelor's or Master's in GIS, Computer Science, or related field; experience with GIS software and programmingBachelor's or Master's in Geography, GIS, or related field; proficiency in GIS tools and data analysis
Work EnvironmentData engineering teams, GIS departments, tech companies, government agenciesResearch teams, GIS departments, consulting firms, government agencies
Employer & Industry UsageTech firms, environmental agencies, urban planning, transportationResearch institutions, government agencies, consulting firms

The Senior Geospatial Data Engineer focuses on building and maintaining geospatial data infrastructure, pipelines, and systems, often requiring programming and data engineering skills. In contrast, the Geospatial Data Analyst primarily interprets and visualizes geospatial data to support decision-making. Both roles require GIS knowledge but differ in technical depth and focus areas.

What are some typical challenges a Senior Geospatial Data Engineer faces when integrating diverse data sources?

One common challenge is ensuring data compatibility and consistency across various formats, such as raster, vector, and tabular data, which often originate from different providers or systems. Senior Geospatial Data Engineers must address issues like differing coordinate reference systems, data quality, and incomplete metadata. Collaborating closely with data scientists, GIS analysts, and software developers is crucial to develop robust pipelines and resolve integration issues efficiently. Staying updated with evolving geospatial technologies and standards also plays a key role in overcoming these challenges.

What is a Senior Geospatial Data Engineer?

A Senior Geospatial Data Engineer is a specialized data professional who designs, develops, and maintains systems that process and analyze spatial or geographic data. They work with large geospatial datasets, build data pipelines, and develop scalable solutions for mapping, location intelligence, and spatial analytics. These engineers often collaborate with data scientists, GIS specialists, and software developers to integrate geospatial data into applications and decision-making processes. Their expertise includes working with GIS software, spatial databases, and cloud-based geospatial tools. Senior-level engineers typically also mentor junior staff and help set technical direction for geospatial projects.
What are the most commonly searched types of Geospatial Data Engineer jobs in California? The most popular types of Geospatial Data Engineer jobs in California are:
What cities in California are hiring for Senior Geospatial Data Engineer jobs? Cities in California with the most Senior Geospatial Data Engineer job openings:
Senior Geospatial Data Engineer jobs near you
Sr. Software Development Engineer - Gen AI

Sr. Software Development Engineer - Gen AI

Esri

Redlands, CA • On-site

$123K - $202K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Esri rating

9.5

Company rating: 9.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies

Job description

Overview
Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ArcGIS platform. In this role, you will design and develop the software used by a large community of GIS professionals to power the operations of their organizations.
In this position, you will design and develop software used by organizations across diverse markets and industries to ensure quality and consistency in their geospatial data holdings. You will be part of a talented cross-functional team of dynamic and passionate engineers who deliver capabilities that enable our customers to make a difference in communities around the world.
As part of the Professional Services division, you will work closely with product teams, domain experts, and technical specialists to create robust, production-ready software that transforms and advances geospatial data quality. If you are passionate about geospatial technologies, AI-driven data quality management, and building scalable, high-performance distributed solutions, this role offers the opportunity to work on cutting-edge technologies that shape how organizations build, validate, and maintain accurate geospatial assets.
Responsibilities
  • Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality
  • Build software that follows industry-standard design patterns, development methodologies, and deployment models
  • Design, develop, test, and integrate AI/ML algorithms as part of product releases and evolve data quality capabilities for customers
  • Build scalable ML pipelines and data engineering processes to improve overall system architecture
  • Work collaboratively with product engineers, researchers, Professional Services product teams, and domain experts
  • Work effectively in an Agile Scrum team environment and iterative development cycles

Requirements
  • 5+ years of professional experience in a similar position supporting similar responsibilities with emphasis on Python, Machine learning or AI systems
  • Strong understanding of object-oriented principles, software architecture, and API design
  • Ability to analyze software/algorithms and identify improvements
  • Experience with software development using Python, ML frameworks and RAG systems
  • Bachelor's degree in computer science, mathematics, or STEM related field

Recommended Qualifications
  • Familiarity and knowledge with C++ in large-scale or performance-critical software environments is beneficial
  • Experience analyzing large geospatial datasets and working with vector databases
  • Knowledge of the ArcGIS platform, including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise and enterprise geodatabases
  • Experience in developing REST based services and cloud deployment patterns
  • Understanding of key AI concepts, model evaluation and agentic workflows
  • Experience with Agile development methodologies and CI/CD pipelines
  • Master's degree in computer science, mathematics, or STEM related field

#LI-DR5
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$123,136-$202,488 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

What Esri employees say

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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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