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Geospatial Data Engineer Remote Jobs in Columbus, OH

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 ...

Sales Engineer

Columbus, OH · On-site

$110K - $140K/yr

Remote (U.S.) Pay Range: $110,000 - $140,000 Company Overview: Allerium, a Comtech Segment, is a ... standards, geospatial routing, and public safety ecosystems * Proficiency in IP networking ...

GCP Engineer

Columbus, OH · On-site +1

... and/or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Teams Remote, however, if there are any meetings or workshops they can be asked to report to Rhodes ... AI Engineer is also responsible for designing and delivering data access through APIs, and ensuring ...

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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 29, 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:
Senior Full-stack Software Engineer

Senior Full-stack Software Engineer

Kettle

Columbus, OH

$140K - $180K/yr

Full-time

Posted 4 days ago


Job description

About Us and Position Overview

Kettle is a fast growing Managing General Agency (MGA) specializing in wildfire insurance combining advanced underwriting technology with deep industry experience. 

We're looking for a Senior Full-stack Software Engineer with strong DevOps experience and front-end abilities to join our engineering team. In this role, you will architect, build, and maintain core systems across our AWS-based stack, contribute to front-end product development, and help scale Kettle's engineering infrastructure as we grow. This is a hands-on Senior IC role. You'll start by shipping and improving systems directly, with scope and ownership expanding as you ramp.

You'll work closely with data engineering, modeling, risk, and product teams to deliver performant, reliable, and secure systems that support our underwriting platform and geospatial analytics tools.

The salary range for this role is $140,000-180,000

Why this role exists

As Kettle grows, our engineering systems are becoming more central to underwriting, mapping, and data science workflows. We are a small, senior engineering team where backend and modeling capabilities are strong, but we are looking to further elevate our infrastructure, DevOps posture, and front-end tooling as our platform scales.

Today, much of the system works well and supports real underwriting decisions in production. However, as usage increases, we need to improve deployment reliability, observability, infrastructure consistency, and the overall developer experience. This role exists to help us proactively strengthen those foundations rather than reacting to scale challenges later.

We are looking for a senior engineer who can improve the reliability, scalability, and developer experience of our AWS-based platform while also contributing to the internal tools and interfaces used by underwriting and risk teams every day.

This is a product-minded engineer who is comfortable across the stack, with primary strength in infrastructure, followed by front-end tooling, and backend systems. You will have meaningful autonomy in shaping how we deploy, monitor, and evolve our systems, and will play a key role in raising the engineering bar as we grow.

What success looks like

In the first 6 months, you will:

  • Improve observability, monitoring, and deployment reliability
  • Ship meaningful improvements to internal dashboards and underwriting tools 
  • Become a key partner to data engineering and modeling teams for system reliability

In 12 months, you will:

  • Have materially improved our DevOps posture and developer workflows
  • Be a go-to person for infrastructure and architecture decisions
  • Help shape how new underwriting and mapping products are deployed and supported
  • Raise the engineering standard across backend, infra, and internal tooling
Core Responsibilities

Primary Focus: Infrastructure & DevOps

  • Improve parts of Kettle's AWS infrastructure, CI/CD, and containerized workloads
  • Implement and maintain infrastructure-as-code (Terraform or equivalent)
  • Improve observability, logging, monitoring, deployment reliability, and cost efficiency

Secondary Focus: Front-end Tooling

  • Build and maintain internal dashboards and tools in React/TypeScript

Supporting Role: Back-end

  • Contribute to architecture decisions across backend, infrastructure, and applications
  • Design and maintain backend services and internal APIs (Python)

Requirements

Essential Experience of a Successful Candidate

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of professional software development experience, including ownership of production systems

Strong experience in:

  • Operating production systems in AWS (ECS, EC2, Lambda, S3, IAM, RDS, etc.)
  • DevOps practices: CI/CD, Docker, monitoring, reliability, security best practices
  • Infrastructure-as-code and reproducible environments
  • React / TypeScript frontend development
  • Postgres and database-backed applications
  • Experience in python development, including packaging and environment management

You have demonstrated ability to:

  • Own systems end-to-end, from design through deployment and ongoing operation
  • Work effectively in small teams and ambiguous, fast-moving environments
  • Make pragmatic architectural trade-offs balancing speed, reliability, and scalability
  • Improve engineering workflows, deployment processes, and overall system reliability
  • Identify and proactively address infrastructure or operational bottlenecks before they become critical issues

Work authorization

  • Unfortunately, we are not able to provide visa sponsorship for this role. Only candidates who are currently authorized to work in the United States on a full-time basis will be considered.

Benefits

  • Be part of a mission-driven company tackling real-world challenges.
  • Work with a passionate and innovative team in a collaborative environment.
  • Opportunity to influence cutting-edge wildfire risk modeling in a dynamic industry.
  • Competitive salary and benefits package, including remote work.
  • This position is eligible for stock options (subject to board approval).

Our Kettle Inc. ("Kettle") is an equal opportunity employer. Kettle provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.