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Geospatial Data Engineer Remote Jobs in Dublin, CA

Worldmarket

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

... data engineering products; lean into DataOps, DevOps, and CI/CD to deliver reliable, tested, and ... This is a fully remote position, with responsibilities that require strong communication skills and ...

Runpod Inc

Senior Data Engineer

San Francisco, CA · On-site +1

$124K - $169K/yr

Learn more in our CEO's funding announcement: We're a small, remote-first team. We take ownership ... As a Senior Data Engineer, you will be tasked with designing and implementing robust data solutions ...

Wells Fargo

Senior Data Engineer

San Francisco, CA · On-site +1

$124K - $169K/yr

About this role: Senior Data Engineer The Data, Analytics and Reporting Technology team is ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

New

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience ...

Crunch

Python Systems Engineer (Remote)

Redwood City, CA · On-site +1

We offer a survey data analysis platform that allows market researchers, analysts, and marketers to ... We are inviting you to join our small, fully remote team of developers and operators helping make ...

Metriport

Senior Data Engineer

San Francisco, CA · Remote

$180K - $220K/yr

The role We're looking for a data engineer who can operate at a Senior level: * You've built and ... Participating in bi-weekly sprint planning and retros, joining our daily 30-min remote stand-up at ...

Primary.Health

QA Engineer (Remote)

San Francisco, CA · Remote

... data between labs and state databases, easing the reporting process. JOB TITLE: QA Engineer JOB TYPE: Full-time LOCATION: Remote JOB SCOPE: As a Quality Engineer at Primary you will be responsible ...

Imply

Senior Software Engineer (Remote)

Burlingame, CA · On-site +1

$155K - $215K/yr

Imply Lumi is a high-performance, cost-efficient data layer built to decouple existing ... engineering, and cloud architecture. Must be comfortable working in a high performance remote-first ...

Imply

Senior Software Engineer (Remote)

Burlingame, CA · Remote

$155K - $215K/yr

Imply Lumi is a high-performance, cost-efficient data layer built to decouple existing ... engineering, and cloud architecture. Must be comfortable working in a high performance remote-first ...

Imply

Senior Software Engineer (Remote)

Burlingame, CA · Remote

$155K - $215K/yr

Imply Lumi is a high-performance, cost-efficient data layer built to decouple existing ... engineering, and cloud architecture. Must be comfortable working in a high performance remote-first ...

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Showing results 21-40

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?

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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

GIS Specialist/Analyst - Remote / Telecommute

CYNET SYSTEMS

San Ramon, CA • Remote

$40 - $53/hr

Contractor

Re-posted 22 days ago

Job description

Job Overview:
 
Pay Range: $46.66hr - $53.33hr
  • The GIS Specialist/Analyst will support geospatial database development, digital mapping, data migration, and GIS production workflows. 
  • This role is responsible for maintaining and enhancing GIS databases, performing spatial analysis, supporting change detection initiatives, and developing efficient GIS processes using ESRI technologies and relational database systems.

Requirement/Must Have:

  • 5–7 years of GIS Analyst experience utilizing GIS principles and practices.
  • Strong understanding of GIS database management and relational databases.
  • Experience with ESRI GIS software including ArcGIS Desktop, Arc/Info, and ArcSDE.
  • Knowledge of SQL and relational database management systems, particularly Microsoft SQL Server.
  • Experience with data conversion, migration, and digital cartographic data production.
  • Familiarity with Python scripting, ArcObjects, or VBA programming.
  • Strong analytical and problem-solving skills.
  • Experience creating and maintaining geospatial datasets and databases.

Experience:

  • Experience digitizing, maintaining, updating, and quality-checking GIS databases.
  • Experience performing geospatial analysis and data management activities.
  • Experience with orthophoto interpretation, LiDAR analysis, and change detection workflows.
  • Experience developing GIS production tools and workflow improvements.
  • Exposure to GIS application development using ASP.NET, C#, Microsoft Silverlight, or Adobe Flex preferred.
  • Experience supporting utility, infrastructure, or risk assessment projects preferred.

Responsibilities:

  • Develop and maintain cartographic and digital GIS data products.
  • Perform hard-copy to digital data conversion, migration, and translation activities.
  • Design, develop, and implement GIS production tools and workflows.
  • Digitize, update, maintain, and perform quality control on GIS databases.
  • Conduct orthophoto interpretation and change detection analysis using LiDAR and aerial imagery.
  • Attribute structure footprints and determine occupancy information using available data sources.
  • Perform quality assurance and quality control reviews on geospatial datasets.
  • Reconcile, validate, and post edits to production databases while resolving conflicts.
  • Support structure identification and geospatial risk analysis initiatives.
  • Develop workflow documentation, process diagrams, and user guidance materials.
  • Provide recommendations for GIS process improvements and workflow optimization.
  • Support change detection and building footprint review processes within ArcGIS Online and Portal environments.
  • Retrieve and analyze data using SQL queries and relational database tools.
  • Collaborate with project teams to ensure compliance with project requirements and standards.

Should Have:

  • Experience with structure and outdoor public assembly data analysis.
  • Knowledge of Class Location, High Consequence Area (HCA), and Moderate Consequence Area (MCA) analysis.
  • Understanding of geospatial workflows supporting utility or pipeline operations.
  • Experience with ArcGIS Online (AGOL) and ArcGIS Portal.
  • Strong documentation and communication skills.

Skills:

  • ArcGIS Desktop.
  • Arc/Info.
  • ArcSDE.
  • ArcGIS Online (AGOL).
  • GIS database management.
  • SQL and Microsoft SQL Server.
  • Python scripting.
  • ArcObjects and VBA.
  • LiDAR analysis.
  • Orthophoto interpretation.
  • Change detection analysis.
  • Geospatial data quality control.
  • Data migration and conversion.
  • Workflow design and process improvement.

Qualification And Education:

  • Bachelor’s degree in Geography, Geographic Information Systems (GIS), Geospatial Science, Computer Science, Engineering, or a related field preferred.
  • Equivalent GIS experience may be considered in lieu of formal education.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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