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Geospatial Data Engineer Remote Jobs in Florida (NOW HIRING)

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud Data Engineer to join our global client's growing team of data experts. This is 100 REMOTE and a ...

... and engineering firm. This position offers great potential for professional growth and the ... GIS/remote sensing platforms * Bathymetric data processing and/or verification experience

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data ... Host remote training materials, provide access to self-paced learning modules, and facilitate ...

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data ... Host remote training materials, provide access to self-paced learning modules, and facilitate ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Data Engineer

Miami, FL · Remote

$135K - $155K/yr

Experience: 5+ years of industry experience as a hands‑on practitioner in Data Engineering. Note ... Flexible remote work environment with a collaborative, high-talent team Salary: $135,000 - $155,000 ...

Software/Data Engineer

De Leon Springs, FL · On-site +1

$110K - $145K/yr

The Software/Data Engineer develops, integrates, and sustains software applications, databases ... Remote (U.S.) with occasional travel. Responsibilities Essential Job Functions: * Design, develop ...

Arora Engineers, LLC provides geospatial data and asset management, and design and construction services forMEP, fire protection and alarms, and low voltage/special systems for aviation ...

Senior Data Engineer

Jacksonville, FL · Remote

$98K - $133K/yr

... PA, Remote-RI, Remote-VA, St. Louis, Missouri Details Kemper is one of the nation's leading ... Provide technical leadership to data engineers, setting standards for solution design, coding ...

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of positions - 2 Overview We are seeking a Data Engineer with strong experience in Python and React to ...

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

Topobathymetric Lidar Geospatial Analyst II

GeoSearch

Tampa, FL • Remote

Full-time

Posted 9 days ago


Job description

Topobathymetric Lidar Geospatial Analyst II


Job Description

Geospatial Analyst III in Fairfax, VA or Tampa, FL. Remote positions will be considered dependent on experience. This is an excellent career opportunity for an individual to join a team of professionals while working in a multidisciplinary consulting and engineering firm. The firm succeeds through the individual and collaborative skills of its people therefore, we offer opportunities for professional growth while working with and applying the latest technology. Typical responsibilities are to work on GIS/IT and Remote Sensing-related projects for state and federal clients across the US. Overall responsibility includes working on a team performing automated and manual processing of point cloud data.


Responsibilities

Position requires experience in analysis and review of topographic lidar data, topobathymetric data, vector data (2D and 3D), Digital Elevation Models (DEMs), Digital Surface Models (DSMs), imagery, and derivative products for state, federal, and private clients across the US. Experience with creating automated lidar classification algorithms (TerraSolid Products) preferred. Strong candidates will also have a good, conceptual understanding of fundamental remote sensing concepts and geospatial processes for various products, e.g. how lidar sensors work, basic GPS ground survey procedures, airborne lidar trajectory processing, interaction of light and water for bathymetry applications, and ortho-imagery processing.

  • Working with the initial processing and data classification of multiple topographic and bathymetric lidar projects.
  • Creating Scripts/Models/Macros in multiple sensor platforms
  • Work with the Product Line Lead to assist in the execution of projects, on time and within budget.
  • Data Management and Handling: Planning and monitoring production data, management needs and working with IT and Operations to ensure adequate resources are available; Ensuring data management protocols are met including the use of proper files and formats as well as file locations, storage, and backups.
  • Perform work that appropriately follows all quality control steps and practices are implemented throughout processes to ensure deliverables meet client specifications. 
  • Provide feedback and support for developing and/or updating SOPs as necessary.
  • Works with production staff to support process improvements; working with other Technology/Process Improvement teams to review best practices to enhance product line, gain efficiencies, and improve quality.
  • Support improvements to automation of the production and QC process through providing technical guidance and ideas 
  • Task Management; Problem resolution; Report writing; Collaboration
  • Quality Assurance, documentation and providing feedback.


Required Skills and Experience

  • Bachelor's degree in Geography, GIS, or related field.
  • 3+ years of experience in the GIS/Remote Sensing Field or equivalent combination of education and experience with a focus on point cloud classification working with Lidar and producing other Elevation data sources.
  • Experience in Lidar processing and elevation model creation/manipulation, hydrography, or other remote sensing processing, development, and QA/QC.
  • An understanding of GIS and Lidar data and concepts including a strong knowledge of various raster and vector data types, coordinate systems, projections, and datums
  • Understanding of Lidar production workflow and being able to explain the conceptual basis of Lidar acquisition, processing, and deliverable creation
  • The ability to analyze point clouds and various geospatial data layers derived from point cloud data.
  • Working experience with Terrasolid Products and MicroStation
  • In-depth knowledge of ESRI’s products including ArcGIS 10x, ArcPro.
  • Proficiency in basic computer applications, especially MS Office (Word, Excel, and Access).
  • Ability to handle multiple priorities under tight schedules as required
  • Strong verbal and written communication skills.


Beneficial Skills & Experience

  • Creative problem-solving skills.
  • GISP Certification, ASPRS certifications in Lidar or other Remote Sensing technologies a plus
  • LASTools, LP360, Global Mapper, QGIS experience a plus.
  • Working knowledge of Python and/or other programming languages a plus.
  • GDAL Tools, and command line applications highly desirable
  • ArcGIS Data Review and Production Editing experience a plus.
  • Specific experience working with Riegl topobathymetric sensors and Optech CZMIL topobathymetric sensors.
  • Experience creating scripts/models/macros in multiple GIS/remote sensing platforms
  • Experience with national elevation programs, such as NOAA’s Coastal Mapping Program, USGS 3DEP, and/or USGS 3DHP
  • Experience with industry standards and specifications, e.g., ASPRS Positional accuracy Standards for Digital Geospatial Data, USGS Lidar Base Specifications


Additional Requirements:

  • US Citizen
  • Must have a valid driver’s license, good driving record and ability to pass a driving record background check.