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Geospatial Data Engineer Remote Jobs in Florida (NOW HIRING)

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/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 ...

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 ...

Senior Data Engineer (Remote)

Tallahassee, FL · Remote

$116K - $153K/yr

Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

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 ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

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 ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

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 ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

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 ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $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 • ...

Data Engineer

Miami, FL · Remote

$135K - $155K/yr

Experience: 5+ years of industry experience as a hands‑on practitioner in Data Engineering. Note ... Flexible remote work environment with a collaborative, high-talent team Salary: $135,000 - $155,000 ...

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of positions - 2 Overview We are seeking a Data Engineer with strong experience in Python and React to ...

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 ...

Senior Data Engineer

Tallahassee, FL · Remote

$95K - $129K/yr

Remote Responsibilities * Design and Implement Snowflake-Native Data Architectures * Lead the ... Deep Understanding of Data Engineering Concepts * Extensive knowledge of data modeling, including ...

Senior Engineer, Remote Commissioning

Lake Mary, FL · On-site +1

$91K - $125K/yr

Senior Engineer, Remote Commissioning Company Overview At Mitsubishi Power, we're not just building ... Perform advanced diagnostics and analysis of DCS, historian, and monitoring system data across gas ...

... engineering and infrastructure data into meaningful maps, models, and geospatial solutions ... Experience working with LiDAR, aerial imagery, GPS data collection, or remote sensing datasets.

... developers, architects, and brands - to visualize complex information and data across every stage ... raw geospatial and project data into powerful, real-time 3D environments that drive better ...

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Geospatial Data Engineer Remote information

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 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 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 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 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 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:
Azure Cloud Data Engineer

Azure Cloud Data Engineer

ARC Group

Weston, FL • Remote

$108K - $130K/yr

Full-time

Posted 21 hours ago


Job description

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 full-time direct hire and requires you to currently hold permanent work authorization (no C2C).
The Azure Data Engineer is 100% remote and working in the eastern time zone during core business hours. You will be working with Data Engineering and Data Analytics technologies on the Azure Cloud platform.
This is a fantastic opportunity to join a well-respected global leader in the supply chain / logistics space and allows for tremendous career growth potential. The company provides competitive salary, bonus, benefits, and room to grow.
AZURE DATA ENGINEER SUMMARY
  • You will be responsible for expanding and optimizing our Azure Data Lake, as well as optimizing the data flow and collection for cross-functional teams.
  • Building data pipelines as well as processing (transforming, aggregating, wrangling) data.
  • Optimizing data systems and building them from the ground up. In your role, you will work with our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure that the optimal data delivery is consistent throughout ongoing projects.
  • In addition to the development of data solutions, you are accountable for the customer's Azure support experience driving resolution of complex critical problems from problem identification to full resolution, you will own and manage the customer/user experience and supporting key customer projects on Azure.
  • Your day-to-day job will be about providing both technical expertise and about being an excellent communicator and a service oriented professional. You will debug, troubleshoot, correct code, and help resolve business user's issues.
REQUIREMENTS/SKILLS:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics
  • 6+ years of experience of IT platform implementation in a highly technical and analytical role.
  • 2 to 4 years of recent professional experience with Data Management technologies
  • 2 years Azure Data Factory one more of the following, Azure Synapse (DWH), Azure SQL Database, Azure Data Bricks, Spark, and Data Explorer.
  • 2 to 4 years of designing Big Data Pipelines supporting Data Science Use Cases.
  • Practical experience in Python and at least 1 of the following programming languages: Scala, Java, Kotlin, Go, Rust, C#, F#, C, C++.
  • Experience building data ingestion pipelines for a cloud, with data consumable by business intelligence solutions (e. g. PowerBI) and/or data scientists.
  • Familiarity with the Azure cloud ecosystem, specifically with data intensive components like Azure Synapse, CosmosDB, Data Factory, Databricks.
  • Robust knowledge of cloud storage aspects (ADLS gen2)
  • Expertise in cloud security aspects
  • Routine command of observability approaches for the clouds: logging, monitoring, tracing.

Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com.
ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and client's needs and goals and serving both with integrity and a shared desire to succeed.
ARC Group is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.