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Geospatial Data Engineer Remote Jobs in Columbia, SC

Cloudbeds

Senior Software Engineer

North, SC · Remote

$145K - $165K/yr

Architect secure solutions for handling financial transactions and sensitive personal data ... distributed, remote-first team Bonus Skills to Stand Out: * Experience designing and building ...

State of South Carolina

Engineering Associate I

Columbia, SC · On-site +1

$61K - $88K/yr

Analyzes and evaluates applications and supporting data and issues operating permits for industries ... State Retirement Plan (SCRS) State Optional Retirement Program (State ORP) Remote Work: The option ...

EnerSys

Senior Finance AI & Automation Developer

Sumter, SC · On-site +1

$95K - $119K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Strong understanding of data structure and APIs required * Experience with Python and/or other code ...

Powered by Pioneer

Developer Relations Intern

North, SC · Remote

$8 - $16/hr

Self-motivated, proactive, and able to work independently in a remote environment * Passionate ... If you would like more information about how your data is processed, please contact us. apply for ...

Atwell, LLC

Civil Designer- Land Development

Sumter, SC · On-site +1

Who We Are Atwell, LLC is a bold leader in the consulting, engineering, and construction services ... This role offers hybrid or remote flexibility for candidates located in Georgia, South Carolina ...

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Geospatial Data Engineer Remote information

See Columbia, SC salary details

$41.2K

$120K

$164.2K

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

As of Aug 7, 2026, the average yearly pay for geospatial data engineer remote in Columbia, SC is $120,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $127,200.00 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 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 popular job titles related to Geospatial Data Engineer Remote jobs in Columbia, SC? For Geospatial Data Engineer Remote jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Columbia, SC look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Geospatial Data Engineer Remote jobs? Cities near Columbia, SC with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you
Infographic showing various Geospatial Data Engineer Remote job openings in Columbia, SC as of August 2026, with employment types broken down into 64% Full Time, 9% Part Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,005 per year, or $57.7 per hour.

Senior Software Engineer

Cloudbeds

North, SC • Remote

$145K - $165K/yr

Full-time

Re-posted 26 days ago

Job description

How You'll Make an Impact: 

As a Senior Software Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, Airbnb, and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

  • Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
  • Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
  • Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high-quality standards
  • Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
  • Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
  • Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
  • Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
  • Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

  • 5+ years of PHP web application software engineering experience
  • Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
  • Strong hands-on experience with Docker and containerized development workflows
  • Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
  • Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
  • Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
  • Proven track record of taking ownership of projects and delivering results independently
  • Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

  • Experience designing and building microservices and/or micro-frontends
  • Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
  • Experience working with event-driven architectures and messaging systems (e.g., Kafka)
  • 3+ years of experience with JS frameworks, Vue.js, and React are preferred
  • 3+ years of experience with Java (Spring Boot)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

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