2

Geospatial Data Engineer Remote Jobs in Ohio (NOW HIRING)

Controls Engineer (Remote)

Delaware, OH · On-site +1

$79K - $102K/yr

... Systems Engineering team. This position can be remote out of the US. This individual will be ... Vertiv solves the most important challenges facing today's data centers, communication networks ...

Controls Engineer (Remote)

Delaware, OH · On-site +1

$79K - $102K/yr

... Systems Engineering team. This position can be remote out of the US. This individual will be ... Vertiv solves the most important challenges facing today's data centers, communication networks ...

eCommerce Engineer (Remote)

Akron, OH · Remote

$99K - $133K/yr

Join us! eCommerce Engineer Remote POSITION SUMMARY : With the goal of eCommerce site stability ... Integrate UI with Hybris OCC APIs (REST/JSON) to support seamless data flow * Implement responsive ...

eCommerce Engineer (Remote)

Akron, OH · On-site +1

$99K - $133K/yr

Join us! eCommerce Engineer Remote POSITION SUMMARY : With the goal of eCommerce site stability ... Integrate UI with Hybris OCC APIs (REST/JSON) to support seamless data flow * Implement responsive ...

Position-Palantir Data Lead Location-Cleveland, OH (Remote) Role Summary * Build and deliver end-to ... Palantir Foundry certification (Data Engineer or Application Developer). * Manufacturing, supply ...

New

Showing results 21-40

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 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 Ohio?

The most popular types of Geospatial Data Engineer jobs in Ohio 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:

Remote Sensing Scientist

Radiance Technologies

Beavercreek, OH • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 28 days ago


Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton, OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational reimbursement, competitive salaries, interesting assignments, and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

Radiance is seeking a highly qualified and motivated scientist to support Geospatial Intelligence (GEOINT) production with the opportunity to continue advancement of non-literal spectral, thermal, and/or SAR analytical processes and techniques. The individual will support advanced remote sensing exploitation functions through detailed technical data analysis and through the development and improvement of techniques and procedures for the Processing, Exploitation, and Dissemination (PED) of remotely sensed data. The position requires working collaboratively with other engineers, scientists, and analysts on complex exploitation issues.

Job Duties

  • Utilize advanced GEOINT tools to analyze and exploit remotely sensed data to produce and disseminate GEOINT products
  • Provide technical leadership to teams performing exploitation and process development
  • Analyze and develop processes to support the exploitation of unique, anomalous, and difficult datasets utilizing engineering principles and a physics-based analytical approach
  • Perform algorithm development for complex data exploitation processes

Required Skills and Qualifications:

  • Bachelor's Degree (or higher) in a STEM field (Physics, Chemistry, Geology, Remote Sensing, or other relevant technical field)
  • Experience in processing and analyzing remote sensing data
  • Active TS clearance with SCI eligibility
  • Understanding of signal processing techniques for solving new problems
  • Ability to work both independently and in a team environment
  • Strong technical writing and briefing skills

Desired Skills and Qualifications:

  • Interpretation of image-based data
  • Experience with ENVI, ArcGIS, and/or similar software tools
  • Ability to code/script, such as in Python, IDL, etc.

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.