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Geospatial Data Engineer Remote Jobs in Miami, FL

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 ...

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 ...

Data Platform Engineer

Miami, FL · Remote

$117K - $140K/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 ...

Senior Data Engineer

Miami, FL · Remote

$101K - $137K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Support data exchange processes, error handling, operational resilience, and secure service-to-service communication. * Contribute to technical documentation, reusable components, development ...

Senior Data Engineer

Miami, FL · Remote

$145K - $175K/yr

Experience: 7+ years of industry experience as a hands‑on practitioner in Data Engineering, with ... Flexible remote work environment with a collaborative, high-talent team Salary: $145,000 - $175,000 ...

Design and execute automated testing strategies across middleware, API, and data integration layers ... Collaborate with QA leads, developers, and business stakeholders to troubleshoot issues and improve ...

... data flows. * Demonstrated ability to act as technical owner for a platform or domain, including ... to influence engineering practices and lead technical outcomes across teams. Remote/WAH ...

... data flows. * Demonstrated ability to act as technical owner for a platform or domain, including ... to influence engineering practices and lead technical outcomes across teams. Remote/WAH ...

... data flows. * Demonstrated ability to act as technical owner for a platform or domain, including ... to influence engineering practices and lead technical outcomes across teams. Remote/WAH ...

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Showing results 1-20

Geospatial Data Engineer Remote information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do geospatial data engineer remote jobs pay per year?

As of Jun 27, 2026, the average yearly pay for geospatial data engineer remote in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

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 Miami, FL? The most popular types of Geospatial Data Engineer jobs in Miami, FL are:
What are popular job titles related to Geospatial Data Engineer Remote jobs in Miami, FL? For Geospatial Data Engineer Remote jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Miami, FL look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Miami, FL are:
What cities near Miami, FL are hiring for Geospatial Data Engineer Remote jobs? Cities near Miami, FL with the most Geospatial Data Engineer Remote job openings:
Infographic showing various Geospatial Data Engineer Remote job openings in Miami, FL as of June 2026, with employment types broken down into 43% Full Time, 54% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $124,066 per year, or $59.6 per hour.
Azure Cloud Data Engineer

Azure Cloud Data Engineer

ARC Group

Weston, FL • Remote

$108K - $130K/yr

Full-time

Posted 9 days 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.