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Geospatial Data Engineer Jobs in Florida (NOW HIRING)

Typical responsibilities include detailed analysis and review of topographic lidar data ... and engineering firm. This position offers great potential for professional growth and the ...

Typical responsibilities include detailed analysis and review of topographic lidar data ... and engineering firm. This position offers great potential for professional growth and the ...

This role enforces compliance with DoD metadata policies and NSG tradecraft standards for geospatial datasets. This future opportunity is contingent upon award. * The Data Governance & Metadata ...

Optimizing database queries and indexing strategies for large-scale geospatial and structured ... Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification. Additional Information Work ...

Optimizing database queries and indexing strategies for large-scale geospatial and structured ... Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification. Additional Information Work ...

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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 Jun 24, 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:

Data Layer Engineer - Mid with Security Clearance

Nalley Consulting

Miami, FL โ€ข On-site

$109K - $131K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Join the Nalley Consulting team at Southcom HQ. Position: Data Layer Engineer
LCAT: Mid
Location: SOUTHCOM HQ, Doral, FL / On-site
Office: U.S. SOUTHERN Command J2 Required clearance: TS/SCI Required education: Bachelor's degree in Data Management, Information Science, Computer Science, or a related field, or five (5) years of equivalent experience in data governance. Description: * Design and manage a modular data layer architecture that supports scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments. * Develop and optimize ETL pipelines for real-time and batch processing of mission-relevant data, ensuring integration with both ESRI and third-party analytic services. * Implement metadata management solutions-such as tagging, schema validation, and indexing-to improve lineage tracking and facilitate governance alignment with IL4/IL5 controls. * Manage data access enforcement mechanisms, including RBAC policies and encryption controls, consistent with NIST 800-53 Rev. 5, FedRAMP, and DoD cybersecurity mandates. * Submit the Data Layer Integration & Optimization Report, detailing Kubernetes performance benchmarks related to data lake interaction, data lifecycle strategies for containerized environments, and cloud resource optimization recommendations. Required Experience: * Possess the knowledge and capability to design, implement, and optimize data transformation workflows for geospatial and non-geospatial datasets. * Must be proficient in ETL (Extract, Transform, Load) processes, data structuring, and schema management, with expertise in ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services. * Strong understanding of databases (PostgreSQL/PostGIS, SQL Server, NoSQL), cloud storage solutions (AWS S3, Azure Blob, Google Cloud Storage), and Kubernetes-hosted geospatial applications is required. * Demonstrated experience in developing and managing data governance frameworks, implementing metadata and data cataloging solutions, and ensuring compliance with DoD and IC data security policies. * Experience with tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview is required. Desired Qualifications: * Certified Data Management Professional (CDMP), DAMA Certified Data Governance Professional (DGSP), or Microsoft Certified: Azure Data Engineer Associate. ABOUT NALLEY CONSULTING Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states. Nalley Consulting fringe benefits include: * Excellent medical, dental, and vision benefits * PTO * 11 paid federal holidays * Tuition assistance * Paid military-reserve leave * Paid parental leave for birth or adoption * 401k matching up to 5 percent of the base salary * Flex time * Company-paid short-term disability, long-term disability, and life insurance.