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Geospatial Engineer Jobs in California (NOW HIRING)

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$110K - $152K/yr

Required Skills and Experience: * 10+ years of experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer. * Proven experience developing and ...

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Geospatial Engineer information

See California salary details

$5

$46

$88

How much do geospatial engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for geospatial engineer in California is $46.02, according to ZipRecruiter salary data. Most workers in this role earn between $35.34 and $56.92 per hour, depending on experience, location, and employer.

What is a geospatial engineer?

A geospatial engineer uses modern mapping technologies, such as GIS and GPS, to map, collect, and analyze geographic data. They work with mapping or visualization tools to create 2D or 3D maps of building sites, national parks, or other locations of interest. Geospatial engineers also locate archeological sites or potential sites for civil engineering projects, such as dams or bridges. To pursue a career as a geospatial engineer, you need a bachelor’s degree in engineering, geography, geographic information systems, or a related field. Other qualifications include proficiency in mapping software, strong data analysis skills, and job experience in the industry.

What are the key skills and qualifications needed to thrive as a geospatial engineer, and why are they important?

To thrive as a Geospatial Engineer, you need a strong background in geography, cartography, GIS, and spatial data analysis, typically supported by a relevant bachelor's degree. Proficiency with GIS software like ArcGIS or QGIS, remote sensing tools, and possibly certifications such as GISP are common requirements. Strong problem-solving skills, attention to detail, and effective communication are standout soft skills in this field. These skills and qualifications are crucial for accurately analyzing spatial data, creating reliable maps, and supporting informed decision-making across various industries.

How does a geospatial engineer typically collaborate with other departments within an organization?

Geospatial Engineers frequently work alongside professionals from various departments, such as urban planners, civil engineers, environmental scientists, and IT specialists. Collaboration often involves integrating spatial data into broader project workflows, providing technical expertise on mapping technologies, and ensuring that geospatial solutions align with organizational goals. Effective communication and teamwork are essential, as Geospatial Engineers must translate complex data into actionable insights for non-technical stakeholders and support cross-functional projects. This collaborative environment offers opportunities to develop both technical and interpersonal skills, contributing to professional growth.

What is the difference between Geospatial Engineer vs GIS Analyst?

AspectGeospatial EngineerGIS Analyst
Required CredentialsBachelor's in Geospatial Science, GIS, or related field; certifications like GISPBachelor's in Geography, GIS, or related; certifications like GISP
Work EnvironmentFieldwork, data collection, GIS software developmentData analysis, map creation, spatial data management
Employer & IndustryEngineering firms, government agencies, tech companiesGovernment agencies, urban planning, environmental organizations
Common Search & ComparisonYesYes

While both Geospatial Engineers and GIS Analysts work with spatial data, Geospatial Engineers focus more on developing GIS systems, managing data infrastructure, and integrating geospatial technology into engineering projects. GIS Analysts primarily analyze spatial data, create maps, and support decision-making through data visualization. Both roles require similar credentials and often collaborate, but their core responsibilities differ in scope and application.

Is GIS still in demand?

Geospatial engineers and GIS professionals are in steady demand due to the increasing reliance on spatial data for urban planning, environmental management, and infrastructure development. Skills in GIS software, data analysis, and remote sensing are highly valued across government, private, and research sectors.

What does a geospatial engineer do?

A geospatial engineer analyzes and interprets geographic data using GIS (Geographic Information Systems), remote sensing, and mapping tools. They develop spatial models, create maps, and support projects related to land use, environmental management, or infrastructure planning, often requiring proficiency in software like ArcGIS or QGIS. The role typically involves data collection, analysis, and visualization to support decision-making processes.

What is the average salary of a geospatial engineer?

The average salary of a geospatial engineer typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with advanced skills in GIS software, remote sensing, and data analysis tend to earn higher salaries.
More about Geospatial Engineer jobs

What are the most commonly searched types of Geospatial Engineer jobs in California?

The most popular types of Geospatial Engineer jobs in California are:

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

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

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

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

What cities in California are hiring for Geospatial Engineer jobs?

Cities in California with the most Geospatial Engineer job openings:

What are popular job titles related to Geospatial Engineer jobs in CA?

For Geospatial Engineer jobs in CA, the most frequently searched job titles are:

Geospatial Engineer jobs near you
Infographic showing various Geospatial Engineer job openings in California as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $95,719 per year, or $46 per hour.

System Administrator Expeditionary Systems (OpAI)

Saic

San Diego, CA • On-site

$120 - $160/hr

Other

Posted 20 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

88th of 226 rated it services

Job description

Description

SAIC is seeking a highly experienced System Administrator Expeditionary Systems (OpAI) to contribute to the integration of AI capabilities into expeditionary systems, including sensor kits, UxS, C2, and TAK. The successful candidate will play a key role in maintaining the capabilities of expeditionary systems running innovative and cutting-edge technologies. Daily tasks can vary from hands on keyboard to technical discussions, including but not limited to, troubleshooting network connectivity issues, updating software on edge servers, applying Operating System updates to Linux systems, testing machine learning capabilities, and managing delivery of hardware and software to operational forces.


THIS IS AN ONSITE ROLE IN SAN DIEGO, CA. WITH UP TO 15% OF TRAVEL INVOLVED


JOB DUTIES:

  • Collaborate with cross-functional teams to understand and address the Navy's operational challenges integrating artificial intelligence into expeditionary systems.

  • Build and maintain tactical systems for exercises, including radios, satellite terminals, and edge servers

  • Test software at field experiments to ensure performant and high-quality data flow between tactical systems, including sensors, UxS, and C2

  • Collaborate with machine learning engineers and domain experts to analyze data and integrate machine learning solutions into existing systems.

  • Collaborate with data engineers to monitor data pipelines and analytics to ensure accuracy, reliability, and robustness.

  • Stay updated with the latest advancements in communications architecture and edge servers

  • Work closely with software engineers to connect data pipelines with operational systems


Qualifications
REQUIREMENTS:

  • Bachelors and two (2) years or more experience; Masters and 0 years related experience

  • Must be a U.S. Citizen

  • Must have an Active Secret Clearance to start

  • Must be able to obtain a TS/SCI after start

  • At least 2 years of experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, IT specialist, machine learning engineer, software engineer, or system administrator.

  • Intermediate experience with Linux command line

  • Familiarity with edge servers and embedded GPUs (e.g., Jetson Nano, DGX Spark).

  • Familiarity with containerization technologies (e.g., Docker, Kubernetes).

  • Experience with troubleshooting tactical systems

  • Experience deploying, monitoring, and improving tactical data pipelines

  • Strong problem-solving and analytical skills.

  • Passion for staying updated with the latest advancements in tactical data architecture.

  • Excellent communication skills and the ability to work effectively in a collaborative team environment.
    Previous experience working with government agencies or military organizations.


DESIRED SKILLS:

  • Experience integrating tactical systems with Tactical Assault Kit (TAK) ecosystem.

  • Experience integrating tactical systems into Maven Smart Systems (MSS)

  • Familiarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake.

  • Familiarity with Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS.

  • Expertise in Elasticsearch, Redis, S3, PostgreSQL, or other data stores.

  • Experience with Maritime radars and AIS receivers.

  • Understanding of cybersecurity principles in the context of tactical applications.


Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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