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Geospatial Software Engineer Jobs in Florida (NOW HIRING)

Endurion

Data Layer Engineer

Tampa, FL · On-site

$108K - $129K/yr

The position requires working with ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services. * Engineers will implement data governance frameworks and metadata/data ...

Base-2 Solutions, LLC

Data Layer Engineer

Doral, FL · On-site

$105K - $127K/yr

Work with ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services ... Azure Data Engineer Associate. Required Education and Experience Equivalency * Bachelor's degree in ...

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Geospatial Software Engineer information

What does a geospatial software engineer do?

A Geospatial Software Engineer develops, maintains, and optimizes software that processes and analyzes geographic data. They work with GIS (Geographic Information Systems), mapping technologies, and spatial databases to build applications for industries like urban planning, environmental science, and logistics. Their role often involves programming, data visualization, and integrating geospatial tools with cloud or web-based platforms. They typically use languages like Python, JavaScript, or C++ and frameworks such as GDAL, PostGIS, or Mapbox.

What are the typical projects or tasks geospatial software engineers work on?

Geospatial Software Engineers commonly work on projects such as developing mapping applications, processing and visualizing spatial data, building location-based services, and integrating geographic data into larger software platforms. Daily tasks may include writing code for spatial data analysis, optimizing database queries, collaborating with GIS analysts and data scientists, and maintaining or improving geospatial data pipelines. Engineers often work in multidisciplinary teams and are involved in both the design and implementation phases of projects. This diverse work helps them gain experience across a wide range of industries, such as urban planning, environmental science, transportation, and defense, offering strong opportunities for career growth.

What are the key skills and qualifications needed to thrive as a geospatial software engineer?

To thrive as a Geospatial Software Engineer, you need strong programming skills (such as Python, Java, or C++), knowledge of GIS principles, spatial databases, and a degree in computer science, geography, or a related field. Familiarity with tools like ArcGIS, QGIS, PostGIS, and relevant certifications (e.g., Esri Technical Certification) are highly valued. Problem-solving ability, attention to detail, and effective communication are crucial soft skills in this role. These qualifications ensure accurate spatial analysis, efficient development of geospatial applications, and successful collaboration with multidisciplinary teams.

What are popular job titles related to Geospatial Software Engineer jobs in Florida?

For Geospatial Software Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Geospatial Software Engineer jobs in Florida look for?

The top searched job categories for Geospatial Software Engineer jobs in Florida are:

What cities in Florida are hiring for Geospatial Software Engineer jobs?

Cities in Florida with the most Geospatial Software Engineer job openings:

Geospatial Software Engineer jobs near you
Infographic showing various Geospatial Software Engineer job openings in Florida as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Geospatial Data Scientist/Geospatial AI/ML Scientist

Juno Beach, FL • On-site

VDart, Inc.
Software Development • 1 - 5K employees
Learn more about VDart, Inc.external

Other

Posted 26 days ago

Job description

The Senior Data Scientist Geospatial is a technical leader responsible for designing, developing, and delivering advanced data science, spatial analytics, and machine learning solutions using geospatial data. This role leads complex analytics initiatives, develops scalable analytical applications and spatial data products, establishes technical standards, and mentors junior data scientists and technical team members.

The position partners closely with GIS teams, business stakeholders, and technology leaders to translate complex geospatial and business challenges into scalable, production-ready solutions that deliver measurable business impact.

Key Responsibilities
  • Lead end-to-end data science and geospatial analytics initiatives, from problem definition and data exploration through model development, deployment, and monitoring.
  • Design and develop predictive, prescriptive, and spatial analytics models using large-scale geospatial and enterprise datasets.
  • Architect and deliver scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities.
  • Establish technical standards, development frameworks, coding practices, and architectural patterns for enterprise geospatial solutions.
  • Design and oversee spatial data pipelines, APIs, automation workflows, and geoprocessing frameworks.
  • Develop production-grade analytical tools and applications using Python and modern data science technologies.
  • Integrate GIS capabilities with cloud platforms, enterprise data systems, APIs, and AI/ML services.
  • Engineer and optimize features, analytical workflows, and machine learning models for performance, scalability, and reliability.
  • Implement model validation, testing, monitoring, and governance frameworks.
  • Develop automated spatial analysis workflows and reusable geoprocessing components.
  • Collaborate with GIS professionals, data engineers, software engineers, and business leaders to deliver enterprise-level solutions.
  • Translate complex analytical and geospatial findings into clear, actionable recommendations for technical and non-technical stakeholders.
  • Provide technical leadership and mentorship to junior and mid-level data scientists.
  • Evaluate emerging GIS, AI, ML, and data science technologies and recommend solutions aligned with business objectives.
  • Apply strong business acumen and independent problem-solving skills to address complex analytical challenges.
Required Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Geography, GIS, Engineering, or another quantitative discipline; advanced degree preferred.
  • 6 10 years of professional experience in data science, analytics, machine learning, or a closely related field.
  • 6 8+ years of relevant experience for senior-level geospatial data science responsibilities.
  • Strong recent experience applying data science techniques to GIS/geospatial problems, preferably within the last 4 years.
  • Strong proficiency in Python or R, with demonstrated experience developing production-ready analytical workflows.
  • Advanced SQL skills and experience working with large-scale datasets.
  • Strong knowledge of statistical inference, machine learning, experimentation design, and predictive modeling.
  • Hands-on experience developing and deploying production-grade models, analytical applications, or data products.
  • Extensive experience with spatial analytics and geospatial data at scale.
  • Strong experience developing enterprise-grade GIS tools, applications, pipelines, and automation workflows.
  • Demonstrated ability to independently lead complex technical initiatives from concept through production.
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About V Dart

Sourced by ZipRecruiter

Industry

Software development, internet and it and professional, scientific, and technical services

Company size

1,001 - 5,000 Employees

Headquarters location

Alpharetta, GA, US

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