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Geospatial Data Engineer Remote Jobs in Salem, OR

System One

OSP Engineer

Salem, OR · Remote

Mountain Ltd. has an opening for a Remote OSP Engineer to work in the Salem, OR area . Since 1979 ... Performs duties such as collecting field data, preparing/organizing permit packages for submittal ...

DataAnnotation

SDLC Engineer - AI Trainer

Salem, OR · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Agility Robotics

Pre-Sales Solutions Engineer

Salem, OR · On-site +1

$139K - $217K/yr

With industry-leading safety standards and years of proven deployment data, we're pioneering a new ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

DataAnnotation

QA Engineer - AI Trainer

Salem, OR · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Latech Apps

Junior Fullstack Developer

Dallas, OR · On-site +1

$67K - $87K/yr

Remote Employment Type: Part-Time / Contract About the Role Latech Apps is seeking a motivated ... Work with databases and application data models. Debug, test, and improve existing features.

DataAnnotation

Automated QA Engineer - AI Trainer

Salem, OR · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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

Geospatial Data Engineer Remote information

See Salem, OR salary details

$44.7K

$130.4K

$178.4K

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

As of Jun 26, 2026, the average yearly pay for geospatial data engineer remote in Salem, OR is $130,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $138,200.00 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 Salem, OR? For Geospatial Data Engineer Remote jobs in Salem, OR, the most frequently searched job titles are:
What cities near Salem, OR are hiring for Geospatial Data Engineer Remote jobs? Cities near Salem, OR with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you
Data Lead & Pre-Sales - Remote - USA

Data Lead & Pre-Sales - Remote - USA

FullStack Labs

Salem, OR • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We are looking for an entrepreneurial, client-facing Data Competency Lead to spearhead and scale our newly formalized Data Competency. This is a high-impact, hybrid role, part technical architect, part pre-sales strategist, and part internal practice leader. You will act as the face of our data offerings to executive-level clients while simultaneously serving as the technical north star for our internal data engineering talent.
As a key leader in our competency-driven growth strategy, you will bridge the gap between complex data technologies and business solutions. You'll be responsible for defining our data engineering standards, collaborating with elite technology partners like Snowflake and Databricks, and turning technical pre-sales conversations into multi-million dollar delivery engagements.
What We Are Looking For
  • 10+ years of experience in deep data architecture, data engineering, or technical delivery management within a digital services, tech consulting, or advanced software engineering environment.
  • Proven Pre-Sales Track Record: Clear experience supporting enterprise-level sales cycles, scoping complex technical data initiatives, and structuring advisory or implementation projects.
  • Data Stack Fluency: Deep, hands-on architectural experience with modern cloud data platforms, specifically Databricks and Snowflake, alongside a strong foundational command of enterprise databases and cloud infrastructure (AWS, Azure, or GCP).
  • People & Practice Leadership: Demonstrated success leading a pool of technical professionals, defining engineering competencies, and setting training standards.
  • Executive-Level Communication: Exceptional ability to translate sophisticated data concepts into high-level business value for non-technical stakeholders, while retaining the technical credibility to go deep with client architects.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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