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Full Time Geospatial Data Engineer Jobs in California

PlusAI

Data Engineer (SE / Sr SE)

Santa Clara, CA · On-site

$130K - $200K/yr

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 ...

PlusAI

Data Engineer (SE / Sr SE)

Santa Clara, CA · On-site

$130K - $200K/yr

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 ...

Esri

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.

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 ...

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 ...

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 ...

Esri

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

Geospatial Technical Specialist

Riverside, CA · On-site

$83K - $166K/yr

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

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 ...

BKF

Geospatial Technical Specialist

Riverside, CA · On-site +1

$83K - $166K/yr

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

Esri

Data Engineer II - Street Data

Redlands, CA · On-site

$79K - $133K/yr

Overview We are seeking a talented Data Engineer to join our team and play a key role in building ... Experience with geospatial data formats * Experience with cloud data platforms (such as AWS, Azure ...

YO AI Labs

GIS/Geospatial Expert

San Francisco, CA · Remote

$80 - $100/hr

Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ... Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other ...

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All JobsGeospatial Data Engineer JobsFull Time Geospatial Data Engineer JobsFull Time Geospatial Data Engineer Jobs in California

Full Time Geospatial Data Engineer information

What is a full time geospatial data engineer?

Full Time Geospatial Data Engineers are professionals who design, develop, and maintain systems that process and analyze geospatial data—information tied to geographic locations. They work with technologies like GIS (Geographic Information Systems), spatial databases, and programming languages to manage, transform, and visualize spatial datasets. Typically employed by organizations in fields such as environmental science, urban planning, transportation, and defense, these engineers ensure that geospatial data is accurate, accessible, and usable for decision-making. Their responsibilities often include building data pipelines, integrating various data sources, and collaborating with analysts, data scientists, and software developers.

How does a full time geospatial data engineer typically collaborate with other teams within an organization?

A Full Time Geospatial Data Engineer frequently works alongside data scientists, software developers, and GIS analysts to design and implement geospatial data solutions. Collaboration often involves translating spatial data requirements into scalable data models, supporting the integration of geospatial data into larger analytics workflows, and troubleshooting data quality issues. Regular communication with cross-functional teams ensures that geospatial data products meet both technical standards and business needs. This collaborative environment not only enhances project outcomes but also provides opportunities for professional growth and exposure to diverse technologies.

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

To thrive as a Full Time Geospatial Data Engineer, you need strong expertise in GIS concepts, spatial data analysis, programming (such as Python or SQL), and a relevant degree in geography, computer science, or a related field. Proficiency with GIS software (e.g., ArcGIS, QGIS), spatial databases (like PostGIS), and cloud platforms (such as AWS or Google Cloud) is typically required, along with certifications like GISP being advantageous. Excellent problem-solving, attention to detail, and effective communication skills set top candidates apart for collaborating across teams and presenting technical findings. These skills and qualities are crucial to ensure accurate spatial data processing, reliable solutions, and effective integration of geospatial insights into business or research objectives.

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

AspectFull Time Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; GIS certificationsBachelor's in Geography, GIS, or related field; GIS certifications
Work EnvironmentData development, database management, coding, cloud platformsMap creation, spatial analysis, data visualization, report generation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, government agencies, environmental organizations
Common Search & ComparisonYesYes

The Full Time Geospatial Data Engineer primarily focuses on building and maintaining geospatial data infrastructure, coding, and managing large datasets. In contrast, a GIS Analyst emphasizes spatial analysis, map creation, and interpreting geographic data for decision-making. Both roles require similar credentials and are used across various industries, but their core responsibilities differ, with engineers handling data systems and analysts focusing on analysis and visualization.

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 Full Time Geospatial Data Engineer jobs in California?

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

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

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

Full Time Geospatial Data Engineer jobs near you
Infographic showing various Full Time Geospatial Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Engineer (SE / Sr SE)

PlusAI

Santa Clara, CA • On-site

$130K - $200K/yr

Full-time

Retirement

Posted 27 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Knowing how well our virtual driver drives - and why it fell short - is what lets us ship with confidence. In this role, you will own that loop end to end: the metrics that quantify driving performance, the pipelines that compute them at fleet scale, the analysis that turns them into judgments about autonomy behavior - including where on the map that behavior changes - the data and tooling that gate software releases, and the agentic workflows that take a detected issue from triage to a proposed fix. You will work primarily in Python across large-scale data processing, geospatial analytics, evaluation frameworks, and LLM-powered automation. 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 either the Engineer or Software Engineer level. Level will be determined by experience, technical depth, scope of ownership, and demonstrated impact. You do not need experience with every technology in our stack; we value strong fundamentals, ownership, and the ability to learn.

Responsibilities:

  • Define and compute driving performance metrics - covering safety, comfort, progress, interventions, and compliance - and build the scalable pipelines that evaluate them consistently across fleet and simulation data

  • Analyze road-test and simulation data in depth to identify trends, regressions, and anomalies in autonomy behavior, and turn them into clear findings that engineering teams act on

  • Build geospatial analytics over fleet driving data: map-matched metrics, route and corridor performance, location-based clustering of events and issues, and geographic coverage analysis that shows where the virtual driver performs well and where it struggles

  • Build the data foundations and tooling for release management, including release-over-release comparisons, readiness and gating criteria, and traceable evidence supporting release decisions

  • Build AI agentic workflows that triage detected issues at scale - clustering and deduplicating failures, attributing root cause, routing to the right owners, and proposing fixes with supporting evidence for engineering review

  • Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts

Required Skills:

  • BS, MS, or PhD in Computer Science, engineering, or a related technical field, or equivalent practical experience

  • Proficiency in Python, with experience building scalable data processing systems or evaluation frameworks

  • Experience developing metrics and analyzing large-scale time-series, event, or geospatial data, including principled metric definitions, validation, and error analysis

  • Experience building LLM-powered or agentic workflows for data analysis, evaluation, or automation

  • Ability to solve open-ended technical challenges and communicate findings clearly to engineering and program stakeholders

  • Self-driven with a strong sense of ownership: a quick learner who is eager to take responsibility and drive projects forward end to end

Preferred Skills:

  • Experience with distributed data processing such as Apache Spark, and workflow orchestration such as Airflow or Argo Workflows

  • Familiarity with LLM agent frameworks (e.g., LangChain, LangGraph, or similar) and prompt/tool-orchestration patterns

  • Experience with geospatial data and tooling, such as GIS formats, map matching, spatial indexing and joins, PostGIS, GeoPandas, or map-based visualization libraries

  • Experience with release engineering, quality gating, or automated regression detection

  • Experience with autonomous vehicles, robotics, or other safety-critical systems

  • Experience building dashboards or analytics interfaces that expose metrics to users

$130,000 - $200,000 a year
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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