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Geospatial Data Engineer Remote Jobs in Portland, OR

Senior Software Engineer (Remote)

Portland, OR · Remote

$129K - $171K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Work with data technologies such as PostgreSQL, MySQL, and Redis to support reliable, scalable ...

Senior Software Engineer (Remote)

Portland, OR · On-site +1

$129K - $171K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Work with data technologies such as PostgreSQL, MySQL, and Redis to support reliable, scalable ...

Senior Software Engineer Full-Time Position | Portland, Oregon About Us Rapta is revolutionizing ... Build scalable data processing pipelines and high-throughput service infrastructure * Design and ...

... Developers, IT, Project Management Professionals, and more. At NV5 Geospatial, we are a ... Acquire data as a crew member as schedule permits to stay current with technology. * Assist with ...

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Collaborate with domain experts (engineering, operations) to translate failure patterns into ML ...

... data analytics, Trimble enables essential industries including construction, geospatial and ... Hybrid (4 days in office/1 day remote) Travel Requirement : 10% Why You'll Love Working With Us At ...

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Showing results 1-20

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 Sep 8, 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:

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.

Project Manager - Aerial Geospatial Operations & Delivery

Portland, OR • Remote

$130K - $140K/yr

Full-time

Posted 6 days ago


Job description

Robotic Data is seeking an experienced Project Manager – Aerial Geospatial Operations and Delivery to lead end-to-end aerial data collection and geospatial delivery programs. This role owns project execution from planning and airborne collection through processing, QA/QC, delivery, and client acceptance.

The successful candidate will bridge technical collection teams, delivery operations, and clients while ensuring projects remain on schedule, within budget, and aligned to operational and quality objectives.
Responsibilities:
  • Lead full lifecycle management of aerial geospatial programs from planning through final delivery.
  • Own aerial collection operations including scheduling, flight coordination, collection readiness, and field execution either directly or via the Robotic Data partner network.
  • Manage delivery teams responsible for imagery, LiDAR, photogrammetry, GIS, and mapping outputs.
  • Develop and maintain project plans, schedules, budgets, and resource forecasts.
  • Utilize Smartsheet to manage dependencies, dashboards, schedules, reporting, and governance.
  • Coordinate cross-functional teams across operations, processing, engineering, and client delivery for multiple Partners.
  • Track project financials including forecasting, invoicing, margin performance, and collections.
  • Implement project KPIs and executive reporting.
  • Drive QA/QC processes and client acceptance.
  • Identify operational risks and implement mitigation plans.
  • Support proposals, estimates, and business development activities.
  • Travel up to 10% as required.
Required Skills:
  • Bachelor’s degree or equivalent professional experience.
  • Minimum 5 years’ project management experience or 10 years’ related experience.
  • 8–10+ years of geospatial, aerial mapping, or remote sensing experience.
  • Deep understanding of aerial mapping, remote sensing, LiDAR, imagery, GIS, and photogrammetry workflows.
  • Experience in managing field operations and geospatial delivery teams.
  • Strong financial, organizational, and stakeholder management skills.
  • Smartsheet experience required.
  • Excellent communication and leadership capability.
Preferred Qualifications:
  • PMP preferred.
  • ASPRS CP, CMS, or GISP certification preferred.
  • Experience supporting machine learning and large-scale mapping initiatives.
  • Experience working across distributed global teams.
Job Details:
  • Timeline: For immediate hire
  • Job Type: Full-time employee
  • Work Model: Remote
  • Schedule: Monday to Friday (availability across time zones required)
  • Salary: $130,000 to $140,000
  • Benefits: As required by law
  • Experience Required: 5+ years Project Management
DO NOT CONTACT THE HIRING MANAGER DIRECTLY, YOU MUST FOLLOW THE APPLICATIONS PROCESS
About Us: Robotic Data provides the real-world data infrastructure for Physical AI. The company combines World Data and Human Data to create high-quality datasets that enable autonomous vehicles, drones, embodied AI, humanoid robots, and other intelligent systems to understand, navigate, and operate safely in the physical world. Learn more at www.roboticdata.com.
EEO Statement: Robotic Data is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.

Disclaimer: All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of Robotic Data.