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Geospatial Data Engineer Remote Jobs in Hollywood, FL

Data Meaning

Lead Data Architect

Boca Raton, FL · Remote

Remote, US based Position type: Full Time Employee Compensation: $190.000 (base + bonus) Job ... The position will work closely with the client's engineering teams and internal Data Meaning ...

Cyclops Inc

Senior QA Engineer (Remote)

Miami, FL · On-site +1

Proficiency in writing SQL queries for testing and data verification * Understanding of the test ... Engineering Manager. Location Remote. USA, Argentina, or Brazil. The role works US business hours ...

Cyclops

Senior QA Engineer (Remote)

Miami, FL · Remote

Proficiency in writing SQL queries for testing and data verification * Understanding of the test ... Engineering Manager. Location Remote. USA, Argentina, or Brazil. The role works US business hours ...

Incubator Lab

Head of Data (Remote)

Miami, FL · Remote

$15K - $18K/yr

You will run a multi-disciplinary department across data engineering, business intelligence, data ... REMOTE-FIRST & ASYNCHRONOUS * Async-First : We prioritize output over "hours in a seat." * EST ...

Cisco

Software Engineer

Miami, FL · On-site +1

$128K - $184K/yr

This role is remote and can be performed from anywhere in the U.S. Meet the Team The Cryptographic ... Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect ...

Data Meaning

MicroStrategy Architect

Boca Raton, FL · On-site +1

US - Remote Position type: temporary - TDB Position Summary We are looking for a highly skilled ... The ideal candidate will work closely with business stakeholders, data engineering teams, and ...

Data Meaning

MicroStrategy Architect

Boca Raton, FL · Remote

US - Remote Position type: temporary - TDB Position Summary We are looking for a highly skilled ... The ideal candidate will work closely with business stakeholders, data engineering teams, and ...

Incubator Lab

Head of Data

Miami, FL · Remote

$15K - $18K/mo

You will run a multi-disciplinary department across data engineering, business intelligence, data ... REMOTE-FIRST & ASYNCHRONOUS * Async-First : We prioritize output over "hours in a seat." * EST ...

Booz Allen Hamilton, Inc.

Data Lake Engineer

Doral, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245982 Location: Doral,FL,US Share job via: Share Data Lake Engineer The Opportunity: For an organization to transform in today's digital world, it needs to properly ...

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0245993 Location: Doral,FL,US Share job via: Share Data Scientist The ... Azure AI Engineer Associate, or Certified Analytics Professional Certification Clearance:

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Hollywood, FL

Geospatial Data Engineer Remote information

See Hollywood, FL salary details

$40.8K

$119K

$162.8K

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

As of Aug 8, 2026, the average yearly pay for geospatial data engineer remote in Hollywood, FL is $118,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,000.00 and $126,100.00 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 popular job titles related to Geospatial Data Engineer Remote jobs in Hollywood, FL? For Geospatial Data Engineer Remote jobs in Hollywood, FL, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Hollywood, FL look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Hollywood, FL are:
What cities near Hollywood, FL are hiring for Geospatial Data Engineer Remote jobs? Cities near Hollywood, FL with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you

Lead Data Architect

Data Meaning

Boca Raton, FL • Remote

Full-time

Posted 12 days ago

Job description

Lead Data Architect

Location: Remote, US based
Position type: Full Time Employee
Compensation: $190.000 (base + bonus)


Job Summary
Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. As part of our growth and upcoming initiatives, we are proactively searching for Lead Data Architects to support future data platform modernization initiatives across our client portfolio.
 

Position Summary

The Lead Data Architect will lead the architecture assessment, transition planning, and modernization of the client’s data platform. This role will be responsible for designing the future-state architecture, defining best practices for ELT pipelines, and guiding the migration of existing SQL-based transformations into a scalable dbt framework within a Snowflake environment.

The position will work closely with the client’s engineering teams and internal Data Meaning consultants, leading knowledge transfer sessions, architecture walkthroughs, and platform transition initiatives to ensure long-term scalability, reliability, and governance of the data platform.


Key Responsibilities:

  • Lead architecture assessment and documentation of the current data platform (Snowflake, Airflow, AWS)
  • Design the future-state data platform architecture following modern ELT and dbt best practices
  • Define standards for: data modeling, pipeline architecture, transformation frameworks, governance and data quality
  • Lead the migration of transformation logic into dbt models
  • Define architectural patterns for: staging layers, intermediate layers, data marts
  • Implement automated testing frameworks within dbt
  • Lead discovery sessions and technical workshops with the client’s data engineering teams
  • Document architecture, pipelines, and operational processes
  • Conduct architecture walkthrough sessions during knowledge transfer phases
  • Define standards for CI/CD, monitoring frameworks, and data quality validation
  • Establish schema management and governance best practices
  • Optimize Snowflake compute usage and platform performance
  • Design scalable orchestration strategies for Airflow pipelines
  • Improve platform reliability, monitoring, and operational observability

Required Skills & Qualifications:
  • Advanced / fluent English
  • 10+ years of experience in Data Engineering or Data Architecture
  • Strong experience designing and implementing modern data platforms
  • Expert-level experience with Snowflake
  • Strong experience implementing dbt transformation frameworks
  • Advanced SQL modeling and performance optimization
  • Strong experience with Apache Airflow orchestration
  • Strong Python programming skills
  • Experience designing: ELT pipelines, Data warehouse architectures, Transformation frameworks, Large-scale data pipelines
  • Experience working in cloud environments (AWS preferred)

Nice to Have

  • Snowflake certification
  • Experience leading data platform migrations or modernization initiatives
  • Experience implementing Medallion architecture patterns
  • Experience defining data governance frameworks
  • Experience working with distributed or global engineering teams
 

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