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Geospatial Data Engineer Remote Jobs in Jupiter, FL

AI Automation Engineer -Remote

Lake Worth, FL · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

... the option for remote work. This role combines advanced CAD expertise with GIS proficiency ... geospatial and data management initiatives across the organization * Produce complex engineering ...

... the option for remote work. This role combines advanced CAD expertise with GIS proficiency ... geospatial and data management initiatives across the organization * Produce complex engineering ...

... the option for remote work. This role combines advanced CAD expertise with GIS proficiency ... geospatial and data management initiatives across the organization * Produce complex engineering ...

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Geospatial Data Engineer Remote information

See Jupiter, FL salary details

$43.5K

$126.8K

$173.6K

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

As of May 28, 2026, the average yearly pay for geospatial data engineer remote in Jupiter, FL is $126,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $134,500.00 per year, depending on experience, location, and employer.

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

AWS Python Data Engineer - H1B, GC , USC, H4-EAD (C2C role) Remote

millenniumsoft

Stuart, FL • On-site, Remote

$101.10K - $121.40K/yr

Full-time

Posted 18 days ago


Job description

Position: AWS Python Data Engineer
Client - Fannimae
Location: Remote
Exp: 10+ Years
Job Description:
Must Have Strong working experience on Python, PySpark and SQL.
AWS (S3, Hive, Glue, AWS Batch, DynamoDB, Redshift, EMR, CloudWatch, RDS, Lambda, SNS, SQS etc.)
Strong experience on Glue.
Very Strong coding experience on SQL, Scala & PySpark