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Geospatial Data Engineer Remote Jobs in Portland, OR

US Bank

End Point Systems Engineer

Gresham, OR · Remote

Ensure platform stability, performance, data accuracy, privacy, and security configurations ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

US Bank

End Point Systems Engineer

Gresham, OR · Remote

Ensure platform stability, performance, data accuracy, privacy, and security configurations ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

Epiq

Lead AI Software Engineer

Portland, OR · Remote

... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ... Use data to identify improvement opportunities * Make informed decisions * Align team goals with ...

Corvel

Senior Software Engineer

Portland, OR · Remote

$97K - $163K/yr

As our business growth continues we have an established need for data intensive cloud development ... This is a remote role. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Develop and maintain complex ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Portland, OR

Geospatial Data Engineer Remote information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

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

As of Aug 19, 2026, the average yearly pay for geospatial data engineer remote in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 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 the most commonly searched types of Geospatial Data Engineer jobs in Portland, OR?

The most popular types of Geospatial Data Engineer jobs in Portland, OR are:

What are popular job titles related to Geospatial Data Engineer Remote jobs in Portland, OR?

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

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

The top searched job categories for Geospatial Data Engineer Remote jobs in Portland, OR are:

What cities near Portland, OR are hiring for Geospatial Data Engineer Remote jobs?

Cities near Portland, OR 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 Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Software Engineer - Query Language

New Relic

Portland, OR • Remote

Full-time

Re-posted 23 days ago

Job description

Your opportunity

The Data, Identity, & API Platform group at New Relic builds the foundation for all of our products: data ingest, storage, and query. As an engineer working on NRDB, you'll be contributing directly to the proprietary telemetry database technology at the core of our business.

We own our software from top to bottom and are directly responsible for its quality and reliability. Each member of the team shares our pager rotation and will occasionally be on-call to respond to system failures; so we prioritize work that keeps the lights on and the pager quiet, in addition to the work that powers all of our new products and streams of data.

If the idea of working on systems that process millions of messages per second and handle petabytes of data excites you, then you may be an excellent fit!

What you'll do

  • Own the New Relic query language and gateway stack
  • Proactively participate in cross-functional committees to move the query language and gateway forward, ranging from collaborations with AI, Visualizations, and Data Processing teams.
  • Build and maintain scalable distributed Java services and Petabyte-scale Infrastructure.
  • Investigate and resolve critical performance, availability, and resiliency issues and risks in a multi-region, multi-cloud, multi-tenant distributed database.
  • Working in an agile environment with a DevOps approach - the team builds and maintains their own software, including taking turns with being on-call.

 

This role requires

  • 1+ years of experience in collaborative software development.
  • Firm grasp of Computer Science fundamentals, including data structures, algorithms, and modern software design and development methodologies.
  • Self-starter with a strong sense of ownership over your code and commitments.
  • Ability to go deep on the command-line and fix things when they're broken.
  • Experience working in Java, or equivalent experience in an alternate OOP language (C++, C#, etc).

 

Bonus points if you have

  • Experience developing and operating within a 24x7 SaaS business.
  • Experience or interest in database implementation, distributed systems, and/or query language grammar, compilation, and execution.
  • Experience with observability tools and platforms (such as ours).
  • Experience working in the public cloud (AWS, Azure, and/or GCP).
  • Experience with container technologies such as Kubernetes and Docker.
  • Experience working asynchronously in distributed teams. We are part of a group that is distributed across North America, Europe, and Asia.


Please note that visa sponsorship is not available for this position.

#LI-GK1 #LI-Remote

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