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Contract Geospatial Data Engineer Jobs in Florida

kgs

Data Scientist

Cape Canaveral, FL

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow ...

kgs

Data Scientist

Cape Canaveral, FL · On-site

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow ...

Radiance Technologies

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 ...

Dewberry

Geospatial Quality Analyst

Tampa, FL · On-site

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

Dewberry

Geospatial Quality Analyst

Tampa, FL · On-site +1

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

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All JobsContract Geospatial Data Engineer JobsContract Geospatial Data Engineer Jobs in Florida

Contract Geospatial Data Engineer information

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

To thrive as a Contract Geospatial Data Engineer, you need expertise in GIS principles, spatial analysis, data modeling, and proficiency with languages like Python or SQL, typically supported by a degree in geography, computer science, or a related field. Familiarity with technologies such as ESRI ArcGIS, QGIS, remote sensing platforms, and cloud-based geospatial systems, as well as certifications like GISP, is often required. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate across project teams. These skills ensure accurate, efficient handling of geospatial data crucial for informed decision-making in diverse industries.

What is the difference between Contract Geospatial Data Engineer vs GIS Analyst?

AspectContract Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentProject-based, technical, often remote or on-siteOffice or fieldwork, data analysis, map creation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, environmental agencies, consulting firms

The Contract Geospatial Data Engineer focuses on building and maintaining GIS data systems, often requiring programming skills, while a GIS Analyst primarily analyzes spatial data and creates maps. Both roles are essential in GIS projects but differ in technical depth and responsibilities.

What is a contract geospatial data engineer?

Contract Geospatial Data Engineers are professionals who specialize in managing, analyzing, and visualizing spatial data on a temporary or project-based contract. They use geographic information systems (GIS), remote sensing, and data engineering tools to process location-based data for various industries such as urban planning, environmental science, or logistics. Unlike full-time employees, contract engineers typically work for a set duration or on specific projects, offering flexibility to employers and a variety of work for the engineer. Their expertise helps organizations make data-driven decisions based on spatial analysis.

What are some common challenges faced by contract geospatial data engineers when working with diverse datasets from multiple sources?

Contract Geospatial Data Engineers often encounter challenges related to data integration and quality control, as datasets can come in various formats, projections, and levels of accuracy. Ensuring compatibility and consistency across sources requires strong attention to detail and proficiency with geospatial tools such as GIS software and scripting languages. Additionally, contractors must quickly adapt to the unique workflows and expectations of different clients or teams, making effective communication and project management skills essential. These challenges are balanced by the opportunity to work on a variety of projects and expand expertise in different geospatial domains.

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 are popular job titles related to Contract Geospatial Data Engineer jobs in Florida?

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

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

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

What cities in Florida are hiring for Contract Geospatial Data Engineer jobs?

Cities in Florida with the most Contract Geospatial Data Engineer job openings:

Contract Geospatial Data Engineer jobs near you
Infographic showing various Contract Geospatial Data Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Data Scientist - GIS

Conch Technologies Inc

Juno Beach, FL • On-site

Contractor

Posted 4 days ago

Job description

Sr. Data Scientist – GIS

Location: Juno Beach, FL
Duration: 12 Months
W2 Contract

Job Description

We are seeking a Senior Data Scientist with strong GIS expertise to design and develop scalable geospatial tools, analytical applications, spatial data products, and automated geoprocessing solutions for enterprise business and operational needs.

The candidate will lead GIS solution architecture, spatial data pipelines, APIs, automation workflows, and integration with cloud platforms, enterprise data systems, and AI services.

Required Skills

  • 6–8+ years of experience in Data Science, Analytics, or related fields.

  • Strong recent experience in GIS/Geospatial Data Science preferred.

  • Advanced degree in Data Science, Computer Science, GIS, Geography, Engineering, or related field.

  • Strong Python and geospatial data processing experience.

  • Experience developing production-grade analytical tools and enterprise GIS applications.

  • Experience with spatial data pipelines, APIs, automation, and geoprocessing workflows.

  • Strong experience with Esri technologies, including:

    • ArcGIS Pro

    • ArcGIS Enterprise

    • ArcGIS Online

    • ArcPy

    • ArcGIS API for Python

    • ArcGIS REST APIs

    • ArcGIS Maps SDKs

  • Experience developing custom geoprocessing tools, Python toolboxes, web mapping applications, dashboards, widgets, and automated spatial analysis workflows.

  • Experience integrating GIS with cloud platforms, enterprise systems, and AI technologies.

  • Strong enterprise architecture, technical leadership, and problem-solving skills.

Key Skills: Data Science, GIS, Geospatial Analytics, Python, ArcGIS, ArcPy, ArcGIS Enterprise, ArcGIS Online, ArcGIS API for Python, REST APIs, Spatial Data Pipelines, Geoprocessing, Cloud, AI, Data Analytics, Enterprise GIS.

Best regards,

Sai Koushik Bezawada

Senior US IT Recruiter

Desk: 380-999-9016

Email: koushik.b@conchtech.com

Web: www.conchtech.com