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Geospatial Data Engineer Remote Jobs in Ohio (NOW HIRING)

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

ComResource

Data Engineer Databricks (Remote)

Columbus, OH · Remote

$110K - $132K/yr

Data Engineering & Pipelines * Build scalable, production-grade ETL/ELT pipelines using Databricks, including PySpark, Spark SQL, Delta Live Tables, and Workflows. * Ingest structured, semi ...

Synergy

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107K - $129K/yr

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT ... Develop and maintain data transformations, ML workflows, and automation scripts using Python and ...

Sun King

Job Location: Remote About the Role: Sun King is seeking a high-impact GIS Specialist to ... We have already established a strong foundation in using geospatial data to assess energy needs ...

Sun King

Job Location: Remote About the Role: Sun King is seeking a high-impact GIS Specialist to ... We have already established a strong foundation in using geospatial data to assess energy needs ...

ALLOBAAS

Data Engineer II

Lakewood, OH · On-site +1

Description Position Summary: The Data Engineer II will play a vital role in our Data ... If fully remote: must be willing to travel * This position will require the ability to work ...

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines ... This is a remote position requiring all work be performed in the continental United States. US ...

FMHC

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey -- helping move the ... If fully remote: must be willing to travel * This position will require the ability to work ...

FMHC

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey - helping move the ... If fully remote: must be willing to travel * This position will require the ability to work ...

Troutman Pepper

Senior Data Engineer

Cincinnati, OH · Remote

$101K - $138K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Aquent

Vulnerability Management Engineer

Canton, OH · On-site +1

$90 - $92/hr

Aug 3, 2026 Vulnerability Management Engineer Remote $92 / hourly as W2 About the Role Join our ... We are looking for a sharp analytical thinker who can look at a mountain of vulnerability data ...

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Geospatial Data Engineer Remote information

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

Data Engineer (Remote)

Greenfield Talent

Cleveland, OH • Remote

$111K - $133K/yr

Full-time

Posted 19 days ago

Job description

We’re looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a hands‑on role where you’ll manage and evolve our ELT pipelines, Snowflake environment, and Python‑based integrations while partnering closely with analysts and systems administrators who rely on high‑quality, reliable data.

What You’ll Do

  • Own the day‑to‑day operation, maintenance, and enhancement of ELT pipelines and the Snowflake data warehouse

  • Troubleshoot and resolve pipeline failures, data quality issues, and performance bottlenecks

  • Design, build, and document new data models and transformations as analytical needs evolve

  • Ensure data reliability, consistency, and availability for downstream consumers

  • Support and extend API integration workflows built with Boomi and Python

  • Maintain and contribute to custom Python applications used across the team

  • Collaborate with internal stakeholders to scope and deliver new data integration projects

  • Participate in evaluating modern data tooling as we consider improvements to our architecture

  • Document systems, processes, and decisions to build long‑term institutional knowledge

What You Bring

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field (preferred)

  • 3–5 years of hands‑on experience in a data engineering role

  • Strong SQL skills and a solid understanding of data modeling for analytics

  • Practical experience with Snowflake or a similar cloud data warehouse

  • Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.)

  • Working knowledge of Python for data processing and scripting

  • Experience with REST APIs and integrating external data sources

  • Comfort digging into unfamiliar systems to diagnose root‑cause issues

  • Experience using GitHub for version control

Nice to Have

  • Exposure to enterprise integration platforms (Boomi or similar iPaaS tools)

  • Experience with Oracle EBS or Salesforce

  • Familiarity with data pipeline orchestration concepts

  • Experience partnering closely with BI or analytics teams