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Geospatial Data Engineer Remote Jobs in Lake Butler, FL

Senior Site Reliability Engineer II

Gainesville, FL ยท On-site +1

$125K - $209K/yr

... Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the ... If not, this role is fully remote. We do not restrict applicants based on job site or posting ...

High Level Engineer - Controls

Jacksonville, FL ยท On-site +1

$77K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This position is REMOTE and can be located anywhere within the US. How you will do it Under general ... Coordinates pre-bid and pre-book estimate reviews and manages the project cost data through the ...

Manager, Security and Trust Engineering

Jacksonville, FL ยท Remote

$160K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science challenges. Join us and make an impact! About the Role: 3E is looking for a Manager ... This position supports remote work, preferably in EST or CST. What You'll Do As the AI Security ...

Showing results 21-40

Geospatial Data Engineer Remote information

See Lake Butler, FL salary details

$40.6K

$118.3K

$161.9K

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

As of Aug 20, 2026, the average yearly pay for geospatial data engineer remote in Lake Butler, FL is $118,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $125,400.00 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 job categories do people searching Geospatial Data Engineer Remote jobs in Lake Butler, FL look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Lake Butler, FL are:

What cities near Lake Butler, FL are hiring for Geospatial Data Engineer Remote jobs?

Cities near Lake Butler, FL with the most Geospatial Data Engineer Remote job openings:

Senior Site Reliability Engineer II

Lexisnexis Risk Solutions

Gainesville, FL โ€ข On-site, Remote

$125K - $209K/yr

Full-time

Re-posted 15 days ago


Job description

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com

About the Role:

We are hiring a hands-on Senior Site Reliability Engineer (SRE) to actively build, operate, and improve the reliability of our production systems. This is not a purely advisory role you will be directly involved in designing infrastructure, writing Terraform, improving observability, and responding to real production incidents.

If you live near one of our offices, you may work a hybrid schedule. If not, this role is fully remote. We do not restrict applicants based on job site or posting location.

Job Title: Senior Site Reliability Engineer (SRE)

Location: Open (U.S.-based). No job site restrictions.
Work Model: Hybrid (if near an office) or Fully Remote
Employment Type: Full-time
Department: Engineering / Infrastructure

What You'll Do
  • Design, build, and operate highly available, scalable systems in AWS

  • Write, maintain, and review Terraform to provision and manage infrastructure

  • Own and improve monitoring, alerting, and observability using Grafana, Pingdom, and Uptrends

  • Participate in a rotating on-call schedule, responding to production incidents and driving issues to resolution

  • Lead incident response, root cause analysis, and post-incident reviews with a focus on prevention and automation

  • Define and manage SLOs, SLIs, and error budgets

  • Build and improve CI/CD pipelines and operational workflows using Azure DevOps and GitHub

  • Work directly with application teams to improve reliability, performance, and deployability

  • Automate manual operational tasks to reduce toil

  • Maintain clear, actionable runbooks and documentation in Confluence

  • Track work, incidents, and operational improvements using Jira and ServiceNow

  • Mentor other engineers and help set SRE standards and best practices

Required Qualifications
  • 5+ years of hands-on experience in SRE, DevOps, or Infrastructure Engineering roles

  • Strong production experience in AWS

  • Required: Significant hands-on experience with Terraform in real-world environments

  • Experience operating monitoring and uptime platforms such as Grafana, Pingdom, and Uptrends

  • Strong Linux systems, networking, and troubleshooting skills

  • Experience supporting production systems through incident response and on-call rotations

  • Proficiency with GitHub and modern Git workflows

  • Experience building or maintaining CI/CD pipelines with Azure DevOps

  • Familiarity with ITSM and incident workflows using ServiceNow

  • Strong written communication skills with experience documenting systems and processes in Confluence

  • Ability to work independently in a remote or hybrid environment

Preferred Qualifications
  • Experience defining and operating against SLOs and error budgets

  • Infrastructure-as-Code best practices beyond Terraform (modules, testing, CI integration)

  • Experience with containers and orchestration (Docker, Kubernetes)

  • Experience supporting large-scale, high-availability production systems

  • Prior experience mentoring engineers or serving as a technical lead

What We Offer
  • Competitive salary and comprehensive benefits

  • Flexible work location with hybrid or fully remote options

  • Real ownership of production systems and reliability outcomes

  • A culture that values automation, learning, and continuous improvement

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $104,900 - $174,700. Base Pay Range for IL is $110,100 - $183,500. Base Pay Range for Chicago, IL is $115,400 - $192,200. Base Pay Range for MD is $110,100 - $183,500. Base Pay Range for NY is $115,400 - $192,200. Base Pay Range for New York City is $125,900 - $209,700. Base Pay Range for Rochester, NY is $104,900 - $174,700. Base Pay Range for OH is $99,700 - $166,000. Base Pay Range for NJ is $123,816- $197,784. This job is eligible for an annual incentive bonus. Application deadline is 08/24/2026.

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