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Contract Geospatial Data Engineer Jobs in California

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/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 ...

We welcome engineers from data engineering, analytics, geospatial, evaluation, or robotics backgrounds; prior autonomous-vehicle experience is helpful but not required. We are open to candidates at ...

We welcome engineers from data engineering, analytics, geospatial, evaluation, or robotics backgrounds; prior autonomous-vehicle experience is helpful but not required. We are open to candidates at ...

We welcome engineers from data engineering, analytics, geospatial, evaluation, or robotics backgrounds; prior autonomous-vehicle experience is helpful but not required. We are open to candidates at ...

We welcome engineers from data engineering, analytics, geospatial, evaluation, or robotics backgrounds; prior autonomous-vehicle experience is helpful but not required. We are open to candidates at ...

Data Engineer

San Diego, CA

$122K - $147K/yr

... administrator, geospatial analyst, geospatial engineer, machine learning engineer, or software ... This document does not create an employment contract, implied or otherwise, other than an "at-will ...

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

Esri is a leading company in geospatial technology, and they are seeking an experienced Sr. Software Development Engineer to enhance geospatial data quality capabilities across the ArcGIS platform.

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

... administrator, geospatial analyst, geospatial engineer, machine learning engineer, or software ... This document does not create an employment contract, implied or otherwise, other than an at-will ...

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

... administrator, geospatial analyst, geospatial engineer, machine learning engineer, or software ... This document does not create an employment contract, implied or otherwise, other than an at-will ...

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 ...

Sr. Generative AI Software Developer

Redlands, CA · On-site

$54.75 - $72.50/hr

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 ...

BKF is a multi-service infrastructure consulting firm providing civil engineering, construction ... Efficiently generate spatial calculations and package geospatial data for deliverable submissions ...

Software Engineer

El Segundo, CA · On-site

$150 - $200/hr

Build scalable data pipelines and backend services supporting geospatial data workflows * Develop ... No long term contracts and FREE on-demand workout videos before you enroll * 401(k) retirement plan ...

Senior GIS Engineer

San Francisco, CA

$123K - $169K/yr

This role works across JLL's geospatial and enterprise data platforms on problems such as geocoding ... Defining data contracts, identifier mappings, and integration patterns across platforms; relational ...

BKF is a multi-service infrastructure consulting firm providing civil engineering, construction ... Efficiently generate spatial calculations and package geospatial data for deliverable submissions ...

Showing results 21-40

Contract Geospatial Data Engineer information

What is a contract geospatial data engineer?

Contract Geospatial Data Engineers are professionals who specialize in managing, analyzing, and visualizing spatial data on a temporary or project-based contract. They use geographic information systems (GIS), remote sensing, and data engineering tools to process location-based data for various industries such as urban planning, environmental science, or logistics. Unlike full-time employees, contract engineers typically work for a set duration or on specific projects, offering flexibility to employers and a variety of work for the engineer. Their expertise helps organizations make data-driven decisions based on spatial analysis.

What are the key skills and qualifications needed to thrive as a contract geospatial data engineer?

To thrive as a Contract Geospatial Data Engineer, you need expertise in GIS principles, spatial analysis, data modeling, and proficiency with languages like Python or SQL, typically supported by a degree in geography, computer science, or a related field. Familiarity with technologies such as ESRI ArcGIS, QGIS, remote sensing platforms, and cloud-based geospatial systems, as well as certifications like GISP, is often required. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate across project teams. These skills ensure accurate, efficient handling of geospatial data crucial for informed decision-making in diverse industries.

What are some common challenges faced by contract geospatial data engineers when working with diverse datasets from multiple sources?

Contract Geospatial Data Engineers often encounter challenges related to data integration and quality control, as datasets can come in various formats, projections, and levels of accuracy. Ensuring compatibility and consistency across sources requires strong attention to detail and proficiency with geospatial tools such as GIS software and scripting languages. Additionally, contractors must quickly adapt to the unique workflows and expectations of different clients or teams, making effective communication and project management skills essential. These challenges are balanced by the opportunity to work on a variety of projects and expand expertise in different geospatial domains.

What is the difference between Contract Geospatial Data Engineer vs GIS Analyst?

AspectContract Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentProject-based, technical, often remote or on-siteOffice or fieldwork, data analysis, map creation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, environmental agencies, consulting firms

The Contract Geospatial Data Engineer focuses on building and maintaining GIS data systems, often requiring programming skills, while a GIS Analyst primarily analyzes spatial data and creates maps. Both roles are essential in GIS projects but differ in technical depth and responsibilities.

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

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

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

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

What cities in California are hiring for Contract Geospatial Data Engineer jobs?

Cities in California with the most Contract Geospatial Data Engineer job openings:

Infographic showing various Contract Geospatial Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Software Development Engineer - Gen AI

Esri

Redlands, CA • On-site

$123K - $162K/yr

Full-time

Re-posted 20 days ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

6th of 247 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


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