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Geospatial Data Engineer Remote Jobs in Florida (NOW HIRING)

Data Engineer

Jacksonville, FL · On-site +1

$106.10K - $127.40K/yr

Manage large-scale geospatial and temporal datasets stored in AWS S3. * Collaborate with data ... Jacksonville, FL (Town Center Area) or Remote * Type: Full-time * Reports to: Director of ...

... remote sensing, and support geospatial AI/ML applications * Ensure data accuracy, performance, and scalability of geospatial solutions * Collaborate with data, analytics, and engineering teams to ...

Geospatial Solutions Architect

Doral, FL · On-site +1

$60.25 - $79.50/hr

... remote sensing, and support geospatial AI/ML applications * Ensure data accuracy, performance, and scalability of geospatial solutions * Collaborate with data, analytics, and engineering teams to ...

We believe AI can only perform as well as the data it's trained on. That's why we work with ... We've built a best-in-class remote work platform for our freelance contributors to provide valuable ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108.90K - $130.80K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud Data Engineer to join our global client's growing team of data experts. This is 100 REMOTE and a ...

Senior Data Engineer - REMOTE

Sunrise, FL · On-site +1

$99.10K - $134.60K/yr

Senior Data Engineer - Direct Hire - 100% Remote - Will not support Corp to Corp candidates Our Florida based healthcare client is seeking a highly skilled Senior Data Engineer to lead the next phase ...

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data ... Host remote training materials, provide access to self-paced learning modules, and facilitate ...

Data Engineering

Tampa, FL · Remote

$104.20K - $125.10K/yr

... Remote Data Engineer with API As a Senior Engineer, you will be responsible for using your technical knowledge to solve business problems. We are looking for a talented individual that can serve as a ...

Data Platform Engineer

Orlando, FL · On-site +1

$106.90K - $128.40K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

Data Platform Engineer

Tampa, FL · On-site +1

$108.20K - $129.90K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

Data Engineer

Tampa, FL · Remote

$104.20K - $125.10K/yr

Data Engineer Duration: 12+ Months Contract Location: 100% Remote Role Job Summary • Seeking an experienced Data Architect to lead and shape our GenAI Insights team. • This role will focus on ...

Data Engineer

Jacksonville, FL · Remote

$106.10K - $127.40K/yr

60% devops & 40% data engineer Skills-Java(70%-Building apps running in AWS), AWS, Python(30%-Building apps running in AWS) Duration: 2 months (end of Jan-not sure of extension) Location: remote ...

Sr Data Engineer

Plantation, FL · Remote

$109.10K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Sr Data Engineer

Plantation, FL · Remote

$113.70K - $136.60K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

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 ...

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Geospatial Data Engineer Remote information

What are the key skills and qualifications needed to thrive as a Geospatial Data Engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What are the typical challenges faced by remote Geospatial Data Engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What is a Geospatial Data Engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

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

AspectGeospatial Data Engineer RemoteGIS 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 EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

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 Geospatial Data Engineer Remote jobs in Florida? For Geospatial Data Engineer Remote jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Florida look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Florida are:
What cities in Florida are hiring for Geospatial Data Engineer Remote jobs? Cities in Florida with the most Geospatial Data Engineer Remote job openings:
Data Engineer

Data Engineer

Urban SDK

Jacksonville, FL • On-site, Remote

$106.10K - $127.40K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Data Engineer

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that support our geospatial traffic analytics applications. The ideal candidate will have experience with Python, Databricks, S3, and modern data engineering practices, including automated testing, CI/CD, and data quality monitoring.

Responsibilities
  • Design, implement, and maintain scalable data pipelines and ETL/ELT workflows on Databricks and cloud platforms.
  • Manage large-scale geospatial and temporal datasets stored in AWS S3.
  • Collaborate with data scientists to productionize machine learning models and ensure smooth data availability.
  • Implement data validation, testing, and monitoring frameworks to ensure data accuracy, consistency, and reliability.
  • Optimize data storage and processing strategies to handle high volumes of traffic and mobility data efficiently.
  • Develop and maintain documentation for data workflows, architecture, and processes.
  • Work closely with cross-functional teams to understand data requirements and ensure timely delivery.
  • Stay up-to-date with the latest trends and best practices in data engineering, cloud technologies, and big data processing.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • 3+ years of experience as a data engineer or in a similar role.
  • Strong proficiency in Python and associated libraries for data engineering (pandas, PySpark, etc.).
  • Hands-on experience with Databricks and Spark for large-scale data processing.
  • Experience with AWS services, especially S3, and knowledge of cloud-based data architectures.
  • Solid understanding of data pipeline testing, version control, and CI/CD practices.
  • Experience with SQL and NoSQL databases.
  • Strong problem-solving skills and attention to detail.
Preferred Skills
  • Familiarity with geospatial data formats and processing (GeoJSON, Shapefiles, PostGIS).
  • Experience with workflow orchestration tools (Databricks, Prefect, or similar).
  • Knowledge of containerization (Docker/Kubernetes) and cloud-native data solutions.
  • Experience supporting machine learning pipelines in production.
Compensation
  • Location: Jacksonville, FL (Town Center Area) or Remote
  • Type: Full-time
  • Reports to: Director of Engineering
  • Salary Based on Experience
  • Annual Bonus
  • Medical, Vision, Dental, 401(k)
  • 21 Days Vacation
  • Office Lunch provided Daily
About Urban SDK

Urban SDK is shaping the Future of Smart Cities. We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission-critical decisions. We equip critical public services with geospatial AI, enabling precise, data-driven decisions with efficiency and confidence.

Our Commitment to People

We are committed to aligning business growth with professional outcomes for every employee. Our commitment has been recognized by Jacksonville Business Journal and Will Reed as a noted Best Places to Work.