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Geospatial Data Engineer Remote Jobs in Dublin, CA

Vianai Systems

Customer Engineer (Remote)

Palo Alto, CA · Remote

$140K - $180K/yr

Collaborate with a diverse team of Designers, Developers, Engineers, Data Scientists both internally and with our customers. * Perform hands-on and in-depth investigations /debugging at all levels of ...

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience as a Data Platform Engineer or ML/AI Engineer with significant handson work in Snowflake ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Dublin, CA

Geospatial Data Engineer Remote information

See Dublin, CA salary details

$50.1K

$146.1K

$199.9K

How much do geospatial data engineer remote jobs pay per year?

As of Aug 22, 2026, the average yearly pay for geospatial data engineer remote in Dublin, CA is $146,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,900.00 and $154,900.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Geospatial Data Engineer Remote jobs in Dublin, CA?

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

What job categories do people searching Geospatial Data Engineer Remote jobs in Dublin, CA look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Dublin, CA are:

What cities near Dublin, CA are hiring for Geospatial Data Engineer Remote jobs?

Cities near Dublin, CA with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you

Senior Full-Stack Engineer

Hired Recruiters

San Francisco, CA • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

Canopy Connect - Senior Full-Stack Engineer (Remote)
SUMMARY
Employer Tech Stack: React, Node, Postgresql, AWS, Docker, Terraform
Acceptable Tech Background: React, Node, Postgresql
Company Size: ~11
Engineering Team Size: ~6
Address: 9450 SW Gemini Dr PMB 37656, Beaverton, OR, 97008
Additional:
https://www.crunchbase.com/organization/canopy-connect
QUICK PITCH
Provide the technology for insurance companies to collect Insurance Information from prospects in SECONDS with a 1-click solution (wow!). Product overview demo video link here.
COMPANY OVERVIEW
Canopy Connect is building the infrastructure that powers best-in-class insurance experiences. We empower consumers to gain value and convenience from their own data, and we enable businesses to securely and quickly support their customers.Every business that deals with insurance information has a tedious process of collecting it. They use long forms, phone calls and emails to collect the information they need to understand their prospects and customers. Canopy Connect is changing that. With our consumer consent-driven data model, an individual is able to instantly and securely share a copy of their insurance information with a business. Which means that our customers, business owners across America, can focus on the reasons they started their business in the first place, instead of spending so much time trying to collect the information they need to understand and onboard their customers.
POSITION OVERVIEW
If you're looking to be one of the first engineers at an early stage, rapidly growing startup, let's chat!Canopy Connect is building the infrastructure that powers best-in-class insurance experiences. We empower consumers to gain value and convenience from their own data, and we enable businesses to securely and quickly support their customers.We are a product-oriented, distributed engineering team seeking exceptional engineers to drive our mission forward.You will help lead the team's product development and infrastructure initiatives. You'll build and own initiatives like our API, our proof of insurance product, document digitization, and consumer-facing insurance wallet.We are hiring in North America, and we're building out a fully remote team.

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