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Geospatial Data Engineer Remote Jobs in California

Data Engineer - REMOTE

Corona, CA ยท Remote

$118K - $141K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate ...

Data Engineer - Remote

Aliso Viejo, CA ยท Remote

$121K - $145K/yr

*Must reside in PST Time Zone and be a US Citizen Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in data analysis, writing queries, query optimization ...

Data Engineer - REMOTE

Corona, CA ยท Remote

$118K - $141K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate ...

Sr. Software Development Engineer - Gen AI

Redlands, CA ยท On-site +1

$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 ...

Sr. Generative AI Software Developer

Redlands, CA ยท On-site +1

$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 ...

In this role you will work with large-scale GPS traces, mapping data and geospatial datasets. You will collaborate with product ,managers, logistic operators and software engineers to turn models ...

Data Engineer

Emeryville, CA ยท Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Engineers, Inc. ๐Ÿ“ Folsom, California | Remote and Hybrid Options | Full-Time About R.E.Y ... Interpret and translate raw geospatial data into usable engineering and survey deliverables.

$134K - $161K/yr

As an ETL Data Engineer, you will play a critical role in our client's expanding data engineering ... Remote

Data Engineer III

Menlo Park, CA ยท On-site +1

$134K - $162K/yr

Unlike traditional data engineering, building data pipelines for generative AI requires ... Remote Inference Orchestration: Own the systems for remote ML model inference orchestration within ...

The role We're looking for a Senior Data Engineer to help the team deliver data science services ... We are a remote-first company for most positions so you may work from anywhere you like in the U.S ...

Data Engineer

Irvine, CA ยท Remote

$123K - $148K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in ... Remote

Senior Software Engineer - Remote

San Diego, CA ยท Remote

$130K - $171K/yr

Senior Software Engineer - Remote Location : San Diego, CA Duration : 5 Months Total Hours/week ... As the Senior Software Engineer, you will lead a team of data engineers in designing, building, and ...

Data Engineer

San Francisco, CA ยท Remote

$134K - $162K/yr

We are a US-based, remote-first company, backed by leading VCs and angel investors. About The Role We\'re looking for our first Data Engineer to build the data infrastructure that powers insights and ...

AutoCAD Draftsman

Ontario, CA ยท On-site +1

$34.62 - $40/hr

... geospatial data, interpreting survey information, and maintaining precise engineering documentation ... remote field teams supporting airport infrastructure projects Compensation Hourly Rate Range: $34 ...

Senior Data Engineer (Level II & Level III) Level II is Remote work Level III is Onsite at Los Angeles, CA We are looking for experienced Data Engineers to support a large-scale Oracle to Snowflake ...

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Geospatial Data Engineer Remote information

What is a Geospatial Data Engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the key skills and qualifications needed to thrive as a Geospatial Data Engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

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

AspectGeospatial Data Engineer RemoteGIS 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 EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are the typical challenges faced by remote Geospatial Data Engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.
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 Geospatial Data Engineer Remote jobs in California? For Geospatial Data Engineer Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in California look for? The top searched job categories for Geospatial Data Engineer Remote jobs in California are:
What cities in California are hiring for Geospatial Data Engineer Remote jobs? Cities in California with the most Geospatial Data Engineer Remote job openings:
Infographic showing various Geospatial Data Engineer Remote job openings in California as of June 2026, with employment types broken down into 14% Internship, 28% As Needed, 29% Full Time, and 29% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Data Engineer - REMOTe

Techoundsllc

San Jose, CA โ€ข Remote

$134K - $161K/yr

Full-time

Posted 19 days ago


Job description

Must reside in PST time zone!

Job Overview
We are seeking a skilled Data Engineer with 3โ€“5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate will have a strong background in MongoDB, MySQL, and SQL, coupled with experience in AWS RDS and tools like Jira, along with strong analytical and problem-solving skills. This role involves designing, building, and maintaining optimized, highly available data pipelines that facilitate deeper analysis and reporting by the Data and Analytics team and support business initiatives.

Key Responsibilities

ยท Develop and execute complex queries in MongoDB, MySQL, and SQL to analyze and extract meaningful insights from datasets.

ยท Create and maintain reporting solutions that support business needs, ensuring clarity and accuracy.

ยท Collaborate with stakeholders to understand reporting requirements and deliver actionable insights through dashboards or reports.

ยท Support ad-hoc analysis by providing timely and efficient query solutions to business teams.

ยท Leverage AWS services, such as RDS and S3, to support data integration and reporting workflows.

ยท Troubleshoot and resolve data-related issues to ensure smooth operations.

ยท Create and maintain documentation for data processes, queries, and reporting workflows.

Qualifications

ยท Experience: 3โ€“5 years of experience as a Data Engineer or similar role with a focus on data analysis and reporting.

ยท Strong proficiency in MongoDB, MySQL, and SQL for query design and optimization.

ยท Hands-on experience with AWS RDS and related AWS services.

ยท Ability to analyze and interpret data to provide actionable insights.

ยท Experience creating and maintaining reports, dashboards, and visualization tools.

Tools

ยท Proficiency with Jira for task and workflow management.

Preferred Qualifications

ยท Experience with Python or similar programming languages for advanced data manipulation.

ยท Knowledge of Agile methodologies and task tracking tools.

ยท Familiarity with reporting tools.

ยท Nice to have: Experience leveraging AI/ML technologies to enhance data analysis, automate workflows, or optimize reporting processes.

Work Location: Remote