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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 ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$131K - $173K/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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All JobsGeospatial Engineer JobsGeospatial Engineer Jobs in California

Geospatial Engineer information

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$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.

Senior Software Engineer Expeditionary Systems (OpAI)

SAIC

San Diego, CA • On-site

$160K - $200K/yr

Full-time

Posted 22 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

Job Description
Description
SAIC is seeking a highly experienced and motivated Senior Software Engineer 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 enhancing the capabilities of expeditionary systems through innovative and cutting-edge technologies. Daily tasks can vary from hands on keyboard to technical discussions, including but not limited to, maintaining real-time Zenoh data mesh in Rust, creating frontend React applications in JavaScript, working with AI engineers to integrate machine learning models, converting data between standard tactical message formats, or providing subject matter expertise in discussions with senior management.
Locations willing to consider future candidate:
This roles is 100% ON-SITE, must be nearby one of the following locations but if San Diego, CA is not your primary location you will be required to travel to San Diego, CA for at least 5 weeks a year for team meetings and administrative tasks.
  • San Diego, CA
  • Arlington, VA
  • Colorado Springs, CO
  • Charleston, SC
  • Denver, CO

    • JOB DUTIES:
    • Collaborate with cross-functional teams to understand and address the Navy's operational challenges integrating artificial intelligence into expeditionary systems.
    • Design, develop, and implement software for tactical applications
    • 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 data architecture to propose and implement innovative solutions.
    • Work closely with systems engineers to connect data pipelines with operational systems
    • Provide technical expertise and contribute to the development of long-term technology strategies within the Department of the Navy.

    Qualifications
    REQUIREMENTS:
    • Bachelors in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics and nine (9) years or more experience. Years of experience in lieu of degree to be taken into consideration.
    • Must be a U.S. Citizen.
    • Must have an Active Secret Clearance to start.
    • Must be able to obtain a TS/SCI clearance after start.
    • At least 9 years 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.
    • Familiarity with containerization technologies (e.g., Docker, Kubernetes).
    • Expert programming skills in Python.
    • Intermediate programming skills in Rust or Go.
    • Experience designing or normalizing tactical data to common standards.
    • Experience with multiple data formats, e.g., CSV, JSON, XML, Parquet, ORC.
    • Familiarity with event streaming libraries and platforms, e.g., Apache Kafka, AWS Kinesis, RabbitMQ, ZeroMQ, or Zenoh.
    • 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.
    DESIRED SKILLS:
    • Experience integrating systems with Tactical Assault Kit (TAK) ecosystem.
    • Familiarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake.
    • Experience with adding and retrieving data from Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS.
    • Expertise in Elasticsearch, Redis, S3, PostgreSQL, or other data stores.
    • Understanding of cybersecurity principles in the context of tactical applications.
    • Previous experience working with government agencies or military organizations.
    • Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics.

    Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
    Overview
    SAIC accepts applications on an ongoing basis and there is no deadline.
    SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
    We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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