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Geospatial Data Engineer Jobs in Florida (NOW HIRING)

... geospatial workflows, data engineering, and enterprise data management. This role creates hands-on instructional content for technical users including practical exercises. This future opportunity is ...

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 ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

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 ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

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 ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

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 ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data stewardship, and catalog integration * OSINT analysis techniques and structured reporting workflows

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data stewardship, and catalog integration * OSINT analysis techniques and structured reporting workflows

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data stewardship, and catalog integration * OSINT analysis techniques and structured reporting workflows

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 ...

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

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Geospatial Data Engineer information

See Florida salary details

$3

$34

$67

How much do geospatial data engineer jobs pay per hour?

As of Jul 13, 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 in the Geospatial Data Engineer position, and why are they important?

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 job?

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:
Infographic showing various Geospatial Data Engineer job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $72,479 per year, or $34.8 per hour.
Full-Stack Data Engineer - SOUTHCOM EDA

Full-Stack Data Engineer - SOUTHCOM EDA

CELESTAR

Doral, FL • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Celestar, a B&A Company, is seeking a Full-Stack 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.
ANTICIPATED AWARD: July 2026
ANTICIPATED START: July 2026
PERIOD OF PERFORMANCE: 1 Base Year + 3 Option Years
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.
Active TS/SCI Clearance
Desired but not Required Certifications:
• AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification.
Come on board with a company that Values its Employees!
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.