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Geospatial Data Science Jobs in Florida (NOW HIRING)

Base-2 Solutions, LLC

Data Layer Engineer

Doral, FL · On-site

$105K - $127K/yr

Support Kubernetes-hosted geospatial applications. Required Qualifications * Bachelor's degree in Data Management, Information Science, Computer Science, or a related field OR a minimum of 5 years of ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Worth AI

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Worth AI, Inc.

Data Platform Engineer

Miami, FL · On-site

$100 - $130/hr

Work closely with data scientists, analysts, and application engineers to understand their needs ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

SOSi

Technical Instructor

Doral, FL · Remote

ESRI Software and Geospatial Data Analysis * API-based data integration and request workflows ... Bachelor's degree in Education, Instructional Design, Intelligence Studies, Data Science, or a ...

SOSi

Technical Instructor

Doral, FL · On-site

ESRI Software and Geospatial Data Analysis * API-based data integration and request workflows ... Bachelor's degree in Education, Instructional Design, Intelligence Studies, Data Science, or a ...

SOSi

Technical Instructor

Doral, FL · Remote

ESRI Software and Geospatial Data Analysis * API-based data integration and request workflows ... Bachelor's degree in Education, Instructional Design, Intelligence Studies, Data Science, or a ...

Prescient Edge

Data Layer Engineer

Doral, FL · On-site

$109K - $131K/yr

... geospatial and structured data across containerized environments. * Develop and optimize ETL ... Education: * Bachelor's degree in Data Management, Information Science, Computer Science, or a ...

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All JobsGeospatial Data Science JobsGeospatial Data Science Jobs in Florida

Geospatial Data Science information

See Florida salary details

$16.4K

$57.9K

$91.2K

How much do geospatial data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for geospatial data science in Florida is $57,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,700.00 and $59,800.00 per year, depending on experience, location, and employer.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

How does a geospatial data scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

What is the difference between Geospatial Data Science vs GIS Analyst?

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

What are the most commonly searched types of Geospatial Data Science jobs in Florida?

The most popular types of Geospatial Data Science jobs in Florida are:

What are popular job titles related to Geospatial Data Science jobs in Florida?

For Geospatial Data Science jobs in Florida, the most frequently searched job titles are:

Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% In-person job distribution, with an average salary of $57,911 per year, or $27.8 per hour.

Data Layer Engineer

Base-2 Solutions, LLC

Doral, FL • On-site

$105K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

  • Requisition ID: 3806
  • Standard Title:
  • Required Security Clearance: Top Secret/SCI
  • Location: Doral, FL
  • Work Type: On-Site
  • Shift: First
  • Referral Eligibility: Eligible
  • U.S. Citizenship Required? Yes

Position Summary
Base-2 Solutions is seeking a Data Layer Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. This role involves designing, implementing, and optimizing data transformation workflows for geospatial and non-geospatial datasets.
Essential Duties and Responsibilities
  • Design, implement, and optimize data transformation workflows for geospatial and non-geospatial datasets.
  • Perform ETL (Extract, Transform, Load) processes, data structuring, and schema management.
  • Work with ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services.
  • Utilize databases including PostgreSQL/PostGIS, SQL Server, and NoSQL.
  • Manage cloud storage solutions such as AWS S3, Azure Blob, and Google Cloud Storage.
  • Support Kubernetes-hosted geospatial applications.
Required Qualifications
  • Bachelor's degree in Data Management, Information Science, Computer Science, or a related field OR a minimum of 5 years of equivalent experience in data governance.
  • Demonstrated experience in developing and managing data governance frameworks.
  • Experience implementing metadata and data cataloging solutions.
  • Knowledge of DoD and IC data security policies compliance.
  • Experience with tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview.
Preferred Qualifications
  • Certified Data Management Professional (CDMP).
  • DAMA Certified Data Governance Professional (DGSP).
  • Microsoft Certified: Azure Data Engineer Associate.
Required Education and Experience Equivalency
  • Bachelor's degree in Data Management, Information Science, Computer Science, or a related field.
  • OR Minimum of 5 years of equivalent experience in data governance.
Required Certifications
  • None specified.
Required Security Clearance
  • Active Top Secret/SCI

Pay & Benefit Highlights
Compensation
  • Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
  • Employee referral bonuses up to $10,000 per hired referral.
  • Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
Health
  • 100% company-paid medical premiums for employees and eligible dependents.
  • Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
  • 100% company-paid dental premiums for employees and eligible dependents.
  • 100% company-paid vision premiums for employees and eligible dependents.
Income Protection
  • 100% company-paid premiums for short-term disability.
  • 100% company-paid premiums for long-term disability.
  • 100% company-paid premiums for accidental death & dismemberment (AD&D).
  • 100% company-paid premiums for life insurance up to $200,000.
Retirement
  • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
  • 401(k) pre-tax and Roth options.
Leave
  • Up to 20 days of flexible paid time off (PTO).
  • 11 paid floating holidays.
Work-Life Balance
  • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

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