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Geospatial Engineer Jobs in California (NOW HIRING)

The Marlin Alliance, Inc.

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

Required : • 5 - 10 years' experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, machine learning ...

Precise Systems

Senior Software Engineer

San Diego, CA · On-site

$124K - $164K/yr

At least 10 years experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, IT specialist, machine ...

Precise Systems

Senior Software Engineer

San Diego, CA · On-site

$130K - $171K/yr

At least 10 years experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, IT specialist, machine ...

BKF

Geospatial Technical Specialist

Riverside, CA

$83K - $166K/yr

BKF is a multi-service infrastructure consulting firm providing civil engineering, construction ... BKF is hiring a senior geospatial analyst to join our ArcGIS team. The ideal candidate would be an ...

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 ...

BKF

Geospatial Technical Specialist

Riverside, CA · On-site +1

$83K - $166K/yr

BKF is a multi-service infrastructure consulting firm providing civil engineering, construction ... BKF is hiring a senior geospatial analyst to join our ArcGIS team. The ideal candidate would be an ...

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

$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 ...

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All JobsGeospatial Engineer JobsGeospatial Engineer Jobs in California

Geospatial Engineer information

See California salary details

$5

$46

$88

How much do geospatial engineer jobs pay per hour?

As of Aug 12, 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 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.

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 technical skills and certifications in geospatial technologies.

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.

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 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.

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.

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 73% Full Time, and 27% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $95,719 per year, or $46 per hour.

Data Engineer

The Marlin Alliance, Inc.

San Diego, CA • On-site

$121K - $146K/yr

Full-time

Re-posted 20 hours ago

Job description

Job Summary:
The Marlin Alliance is a digital transformation company dedicated to helping clients succeed in a digital world. They are seeking a Data Engineer to provide client support to their Navy client, focusing on building and optimizing data pipelines, and implementing automation and data governance strategies.
Responsibilities:
• Build and optimize robust data pipelines: ingestion, transformation, storage, and governance.
• Convert between tactical data formats, e.g., XML, JSON, GEOJSON, Cursor-on-Target (CoT), JREAP-C, Link-16.
• Implement automation using CHRON/CRON jobs and data orchestration frameworks (Apache Airflow, Kafka, AWS Step Functions).
• Architect and maintain scalable data stores (e.g., Apache Iceberg, Elasticsearch) with schema evolution and deduplication.
• Enable real-time data indexing and fast query performance.
• Implement MIL-STD-6016 (Link-16) and MIL-STD-3011 (JREAP) message handling.
• Support integration or development of Cross-Domain Solutions (CDS) for secure, policy-based data transfers.
• Present complex data flows and technical insights effectively to leadership and stakeholders using clear data models and visual aids.
Qualifications:
Required:
• 5 - 10 years' experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, machine learning engineer, or software engineer
• Hands on Keyboard- Developer Skillsets
• Fluency in Python, can code without Modern libraries.
• Experience in format conversions with some of the following: XML, JREAP-C, COT (cursor-on-target), JSON, GEO JSON, UMF/UHR, text link-16, Tapil-J, and other Tactical Data Links.
• Experience in natural language parsing (NLP) and using regular expressions, RegEx
• Experience implementing CHRON/CRON jobs
• Experience in data pipeline orchestration, ETL, orchestration tools (e.g., Kafka, Apache Airflow, AWS Step Functions)
• Focused experience implementing and monitoring data stores i.e. (Apache Iceberg, elastic search, data lake management)
• Experience with schema evolution, dataflow and governance
• Experience with real-time search and analytics engines for indexing and querying semi-structured data
• Focused experience optimizing data store queries for speed and de-duplication
• Direct experience implementing MIL-STD-6016 and MIL-STD-3011
• Can translate data between source and destination schemas
• Data modeling and PowerPoint presentations for leadership and stakeholder presentations
• Experience working with or developing Cross Domain Solutions (CDS) systems.
Preferred:
• Familiarity with DoD data architecture principles (e.g. DoDAF, CADM).
• Experience with DataOps or similar mission-critical pipeline automation (e.g., deduplication, schema normalization).
• Any experience leveraging universal data distribution architectures within DOD operations.
Company:
The Marlin Alliance, Inc. Founded in 2002, the company is headquartered in San Diego, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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