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Geospatial Data Engineer Remote Jobs in Cleveland, TN

... Engineers to ensure analyses are grounded in reliable data and effectively operationalized. The ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

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Geospatial Data Engineer Remote information

See Cleveland, TN salary details

$37.2K

$108.5K

$148.5K

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

As of Aug 23, 2026, the average yearly pay for geospatial data engineer remote in Cleveland, TN is $108,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $115,000.00 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 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 cities near Cleveland, TN are hiring for Geospatial Data Engineer Remote jobs?

Cities near Cleveland, TN with the most Geospatial Data Engineer Remote job openings:

Data Engineer II

Transport Enterprise Leasing

Chattanooga, TN โ€ข On-site, Remote

$90K - $110K/hr

Full-time

Life, Retirement, PTO

Posted 4 days ago


Job description

Data Engineer II
Location: Chattanooga, TN
Schedule: Hybrid | 4 Days Onsite, 1 Day Remote
TEL is a growing transportation and equipment leasing company committed to innovation, operational excellence, and delivering exceptional service to our customers. Technology and data play a critical role in driving our business forward, and we are looking for talented professionals who are excited about leveraging data to create meaningful business impact.
We are seeking a motivated and skilled Data Engineer to join our growing technology team! In this role, you will help design, develop, and maintain data solutions that support business intelligence, reporting, analytics, and operational decision-making across the organization.
What You'll Do
  • Develop, maintain, and optimize ETL pipelines that integrate data from multiple internal and external sources.
  • Build scalable and efficient solutions for data processing, transformation, and storage.
  • Partner with business stakeholders and cross-functional teams to gather requirements and deliver data-driven solutions.
  • Support the development and maintenance of dashboards, reports, and visualizations that provide actionable business insights.
  • Validate, monitor, and maintain data quality throughout the data lifecycle.
  • Troubleshoot and resolve data pipeline and performance issues to ensure reliability and efficiency.
  • Work with APIs and third-party systems to support seamless data integration.
  • Contribute to documentation, best practices, and knowledge-sharing initiatives across the team.
  • Stay current on emerging technologies, tools, and trends in data engineering, analytics, and artificial intelligence.
What We're Looking For
The ideal candidate will have experience building and maintaining ETL pipelines, working with cloud-based data platforms, and creating scalable solutions that transform complex data into actionable insights. You will collaborate with stakeholders across multiple departments to ensure data accessibility, reliability, and quality while contributing to user-facing dashboards and reporting solutions.
  • Experience developing and maintaining ETL pipelines using tools such as Databricks, Apache Spark, Airflow, or similar technologies.
  • Proficiency in SQL and Python for data transformation, automation, and analysis.
  • Strong understanding of data warehousing concepts, relational databases, and data modeling principles.
  • Experience with business intelligence and visualization platforms such as Tableau or Power BI.
  • Familiarity with Continuous Integration/Continuous Deployment (CI/CD) practices in a data environment.
  • Working knowledge of cloud platforms, with a preference for Microsoft Azure technologies.
  • Understanding of Artificial Intelligence (AI), Generative AI, and Machine Learning concepts, including leveraging AI-powered tools to improve analytics, automation, reporting, and operational efficiency.
  • Experience integrating data through APIs and external system connections.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills with the ability to work effectively across technical and non-technical teams.
  • Detail-oriented with a commitment to delivering accurate, high-quality solutions.
Education and Experience
  • Bachelor's degree or higher in Computer Science, Engineering, Information Systems, or a related field.
  • 2-4 years of experience as a Data Engineer or in a similar data-focused technical role.
  • Experience working within cloud-based data environments and modern analytics platforms preferred.
Annual salary range: $90,000 - $110,000, based on experience, technical skills, and overall qualifications.
Why Join TEL?
At TEL, you'll have the opportunity to work on meaningful projects that directly impact business performance and strategic decision-making. You'll collaborate with a talented team, contribute to innovative technology initiatives, and help shape the future of data and analytics within a growing organization.
Join Transport Enterprise Leasing and enjoy a comprehensive benefits package tailored to your career:
  • Paid time off (PTO) to help you balance work and life
  • Paid holidaysโ€”including your birthday and a floating holiday
  • Paid family leave for eligible employees
  • Veterans receive a paid day off on Veterans Day
  • 401(k) retirement savings plan with employer match
  • Retirement Pay Program for long-term financial security
  • Years of Service cash incentive to recognize your dedication
  • Financial wellness program for your financial growth
  • Education Reimbursement Program to support your professional development
Ready to build solutions that turn data into business value? Apply today and become part of the TEL team!

Equal Opportunity Employer
Transport Enterprise Leasing is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic as defined by applicable laws. We also proudly support and encourage applications from veterans.