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Geospatial Data Engineer Remote Jobs in Concord, CA

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Nash, Inc.

Senior Data Scientist

San Francisco, CA · On-site +1

You will partner directly with Product, Engineering, Operations, customers, and company leadership ... Work with large, messy operational datasets, including delivery events, geospatial data, carrier ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... This is a remote position. Duties * Support production systems and help triage issues during live ...

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

Collaborate with ML engineers, other data engineers, and software developers to deliver actionable ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

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 ...

World Market

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 ...

Metriport

Senior Data Engineer

San Francisco, CA · Remote

$180K - $220K/yr

Senior Data Engineer San Francisco, CA Hybrid About us Metriport is an open-source data ... Participating in bi-weekly sprint planning and retros, joining our daily 30-min remote stand-up at ...

Metriport

Staff Data Engineer

San Francisco, CA · Remote

$200K - $260K/yr

Staff Data Engineer San Francisco, CA Hybrid About us Metriport is an open-source data intelligence ... min remote stand-up at 7:30am PST (our only mandatory meeting), and taking part in the on-call ...

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 ...

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

Geospatial Data Engineer Remote information

See Concord, CA salary details

$48.8K

$142.3K

$194.8K

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

As of Aug 8, 2026, the average yearly pay for geospatial data engineer remote in Concord, CA is $142,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $150,900.00 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 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 popular job titles related to Geospatial Data Engineer Remote jobs in Concord, CA? For Geospatial Data Engineer Remote jobs in Concord, CA, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Concord, CA look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Concord, CA are:
What cities near Concord, CA are hiring for Geospatial Data Engineer Remote jobs? Cities near Concord, CA with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you
Infographic showing various Geospatial Data Engineer Remote job openings in Concord, CA as of June 2026, with employment types broken down into 75% Full Time, 18% Part Time, and 7% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $142,334 per year, or $68.4 per hour.

Data Engineer - Fully Remote | Upto $80/hr

Mercor

San Francisco, CA • Remote

$80/hr

Full-time

Re-posted 15 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Engineer (Coding Agent Experience)
Type: Contract
Compensation: $80/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
  • Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems.
  • Identify bugs, edge cases, scalability issues, and failure modes in model outputs.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic data engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional data engineering experience.
  • Experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated data infrastructure and pipeline implementations.

Preferred

  • Experience operating large-scale data platforms.

Compensation & Legal

  • $400 per accepted task.
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.