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Geospatial Data Engineer Jobs in Florida (NOW HIRING)

Celestar, a B&A Company, is seeking a Geospatial Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. If interested and meet the qualifications, we encourage you to apply for ...

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 ...

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 ...

... geospatial and structured data. * Must be proficient in full-stack development, database ... Azure Data Engineer Associate, AWS Certified Data Analytics - Specialty, or ESRI Web GIS Developer ...

Data Layer Engineer - Mid

Miami, FL · On-site

$109K - $131K/yr

... geospatial and structured data across containerized environments. * Develop and optimize ETL ... Azure Data Engineer Associate. ABOUT NALLEY CONSULTING Nalley Consulting is a Service Disabled ...

Data Layer Engineer - Mid

Doral, FL · On-site

$109K - $131K/yr

... geospatial and structured data across containerized environments. * Develop and optimize ETL ... Azure Data Engineer Associate. ABOUT NALLEY CONSULTING Nalley Consulting is a Service Disabled ...

Data Layer Engineer

Doral, FL · On-site

$109K - $131K/yr

... geospatial and structured data across containerized environments. * Develop and optimize ETL ... Azure Data Engineer Associate. Security clearance: * TS/SCI. Location: * Doral, Florida ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

Optimize database queries and indexing strategies for large-scale geospatial and structured ... Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Optimize database queries and indexing strategies for large-scale geospatial and structured ... Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ...

Senior Data Engineer

Cape Canaveral, FL · On-site

$98K - $133K/yr

Experience inintegrating geospatial data systems with enterprise data platforms and APIssuch asNOAA ... Mentor junior engineers and contribute to technical strategy and best practices. Radiance ...

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Geospatial Data Engineer information

See Florida salary details

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$34

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How much do geospatial data engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for geospatial data engineer in Florida is $34.85, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $43.12 per hour, depending on experience, location, and employer.

What are some common challenges faced by geospatial data engineers on the job?

Geospatial Data Engineers frequently encounter challenges related to integrating large and diverse spatial datasets from multiple sources, ensuring data quality, and optimizing data for efficient querying and analysis. Managing changing project requirements and staying updated with evolving geospatial technologies are also common aspects of the role. In addition, collaborating with data scientists, analysts, and GIS specialists requires clear communication to translate technical data into actionable outputs. Navigating these challenges effectively helps engineers deliver robust geospatial solutions that support business and research goals.

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

To thrive as a Geospatial Data Engineer, you need solid expertise in geospatial data processing, spatial databases, GIS concepts, and programming languages like Python or SQL, typically backed by a relevant degree in geoinformatics, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, PostGIS, and cloud platforms, as well as certifications like GISP, are highly valued. Strong analytical thinking, attention to detail, and collaborative communication enhance performance in multidisciplinary teams. These skills are vital for accurately transforming complex spatial data into actionable insights and delivering reliable solutions in geospatial projects.

What is a geospatial data engineer?

A Geospatial Data Engineer is responsible for designing, developing, and managing systems that process and analyze spatial data. They work with geographic information systems (GIS), databases, and cloud platforms to handle large-scale geospatial datasets. Their role involves data pipeline development, spatial analysis, and optimizing geospatial data storage and retrieval. They collaborate with analysts, scientists, and developers to support location-based decision-making.

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 job categories do people searching Geospatial Data Engineer jobs in Florida look for? The top searched job categories for Geospatial Data Engineer jobs in Florida are:
Infographic showing various Geospatial Data Engineer job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 85% In-person, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,479 per year, or $34.8 per hour.

Geospatial Data Engineer (TS/SCI)

CELESTAR

Doral, FL • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 8 days ago


Job description

Celestar, a B&A Company, is seeking a Geospatial Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.
LOCATION: Doral, FL
CLEARANCE REQUIREMENT: Active TS/SCI Clearance
About Us:
Celestar, a B&A Company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.
Responsibilities:
  • Proposed personnel possess the knowledge and capability to develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.
  • Personnel must be proficient in Data Lakes splatforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.
  • Expertise in building scalable, secure web applications, implementing metadata-driven search and retrieval features, and integrating APIs for seamless data interoperability is required.

Required Qualifications and Skills (Must Be Reflected on Your Resume):
  • A Bachelor's degree in Computer Science, Data Engineering, or a related field -OR- A minimum of 5 years of equivalent experience in full-stack development and data engineering.
  • Must have demonstrated experience in Developing and deploying full-stack applications that enable data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
  • Implementing RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.
  • Managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products.
  • Optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.

Desired but not Required Certifications:
  • AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification.

Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.