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Geospatial Data Engineer Remote Jobs in Columbus, OH

Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

SAP EAM Technical Lead

Columbus, OH ยท Hybrid

$110.25K - $183.75K/yr

Design and integrate SAP EAM with Geographic Information Systems (GIS) to link geospatial data with ... Hybrid Remote with periodic travel to Newark, DE (typically ~2 weeks per month, may fluctuate due ...

SAP EAM Technical Lead

Columbus, OH ยท Hybrid

$120K - $200K/yr

Design and integrate SAP EAM with Geographic Information Systems (GIS) to link geospatial data with ... Hybrid Remote with periodic travel to Newark, DE (typically ~2 weeks per month, may fluctuate due ...

You'll work closely with data engineering, modeling, risk, and product teams to deliver performant ... and geospatial analytics tools. The salary range for this role is $140,000-180,000 Why this role ...

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Geospatial Data Engineer Remote information

See Columbus, OH salary details

$43K

$125.3K

$171.4K

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

As of May 30, 2026, the average yearly pay for geospatial data engineer remote in Columbus, OH is $125,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 per year, depending on experience, location, and employer.

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 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 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 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 Columbus, OH? The most popular types of Geospatial Data Engineer jobs in Columbus, OH are:
What are popular job titles related to Geospatial Data Engineer Remote jobs in Columbus, OH? For Geospatial Data Engineer Remote jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Columbus, OH look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Geospatial Data Engineer Remote jobs? Cities near Columbus, OH with the most Geospatial Data Engineer Remote job openings:
OpenClaw Backend Engineer (Remote)

OpenClaw Backend Engineer (Remote)

Outlier AI

Columbus, OH โ€ข Remote

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About the Project

Outlier helps the worldโ€™s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer โ€” we want you to help us train the world's most advanced generative systems.

Ideal Qualifications

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration.
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.

Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
  • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.