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Geospatial Data Engineer Remote Jobs (NOW HIRING)

Data Engineer - Remote

Hartford, CT · Remote

$115.50K - $138.70K/yr

Data Engineer Hartford, CT or Remote Contract No third-party C2C Job Responsibilities: As a Data engineer, you will have the opportunity to expand your skills in a variety of areas while working on a ...

Senior Data Engineer (Remote)

Boston, MA · Remote

$115.20K - $156.40K/yr

Senior Data Engineer (Remote) - 6 Month Contract + Basic Qualifications: * A minimum of three years developing and deploying large scale advanced analytics applications into a production environment

Geospatial Analyst

$85K - $120K/yr

Apply GIS and remote sensing tools to analyze spatial data in support of FEMA's planning and disaster response operations. * Develop and maintain geospatial models and visualizations that inform risk ...

Geospatial Analyst

$85K - $120K/yr

Apply GIS and remote sensing tools to analyze spatial data in support of FEMA's planning and disaster response operations. * Develop and maintain geospatial models and visualizations that inform risk ...

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary Responsibilities: * Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern ...

Senior Data Engineer Remote

Prosper, TX · Remote

$97.10K - $131.90K/yr

Role: Senior Data Engineer Remote Work *Must be a US Citizen Primary Responsibilities: Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming ...

Data Engineer

$117.20K - $140.70K/yr

This position is Hybrid - with on-site support in Suitland, MD and REMOTE. Federal position ... Familiarity with demographic, economic, and geospatial data sources and structures * Experience ...

Data Engineer

$117.20K - $140.70K/yr

This position is Hybrid - with on-site support in Suitland, MD and REMOTE. Federal position ... Familiarity with demographic, economic, and geospatial data sources and structures * Experience ...

Data Engineer

$117.20K - $140.70K/yr

This position is Hybrid - with on-site support in Suitland, MD and REMOTE. Federal position ... Familiarity with demographic, economic, and geospatial data sources and structures * Experience ...

Jr Data Engineer

$117.20K - $140.70K/yr

Jr Data Engineer Remote Contract We are looking for Data Engineers who are passionate about making a difference through their work. You will collaborate in a global, cross-functional environment and ...

$15/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Responsibilities -Assisting library users with the map and geospatial data collections using ...

Data Engineer

Upper Marlboro, MD · Remote

$113.50K - $136.30K/yr

Remote Key Responsibilities: * Collaborate with customer data practitioners and IT staff to develop ... Experience with GIS and geospatial technologies preferred Skills: * Strong analytical and problem ...

Data Engineer (Remote)

Canton, MA · On-site +1

$121.10K - $145.40K/yr

The Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and analytics-ready datasets. You will be collaborating across multiple teams and ...

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Geospatial Data Engineer Remote information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 1, 2026, the average yearly pay for geospatial data engineer remote in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

More about Geospatial Data Engineer Remote jobs
What cities are hiring for Geospatial Data Engineer Remote jobs? Cities with the most Geospatial Data Engineer Remote job openings:
What are the most commonly searched types of Geospatial Data Engineer jobs? The most popular types of Geospatial Data Engineer jobs are:
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What job categories do people searching Geospatial Data Engineer Remote jobs look for? The top searched job categories for Geospatial Data Engineer Remote jobs are:
Data Engineer - Remote

Data Engineer - Remote

Georgia IT Inc

Hartford, CT • Remote

$115.50K - $138.70K/yr

Other

Posted 22 days ago


Job description

Data Engineer

Hartford, CT or Remote Contract No third-party C2C

Job Responsibilities:

As a Data engineer, you will have the opportunity to expand your skills in a variety of areas while working on a data-focused team. On this team, you will be help architect and deliver a wide variety of code artifacts. You will be working to build a scalable and secure ETL solutions for operational, reporting and analytical data needs. In addition, you'll gain experience in CI/CD by utilizing Jenkins, Terraform, and Ansible. Our group has a focus on full cycle engineering – requirements to production support – this means you will have an opportunity to work on a variety of problems to solve while gaining Big Data experience. Although this is a specialized role you will have the freedom to expand your responsibilities and try new things you may be interested in. You will be challenged to:

  • Design, develop and maintain ETL platforms for various business use cases which are fault tolerant, highly distributed and robust.
  • Analyze large sets of structured and semi structured data for business analytics and ETL design.
  • Translate business needs and vision into roadmap, project deliverables and organization strategies.
  • Design and implement ETL solutions using leveraging cloud native platforms.
  • Collaborate with analytics and business teams to design data models that feed business intelligence tools, increasing data accessibility and encouraging data driven solutions.
Skills and Experience Required:
  • Good experience on designing and developing data pipelines for data ingestion and transformation using Spark.
  • Distributed computing experience using Pyspark.
  • Good understanding of spark framework and spark architecture.
  • Experience working in Cloud based big data infrastructure.
  • Excellent in trouble shooting the performance and data skew issues.
  • Must have good understanding of spark run time metrics and tune applications based on metrics.
  • Deep knowledge in partitioning, bucketing concepts of data ingestion.
  • Good understanding of AWS services like Glue, Athena, S3, Lambda, Cloud formation.
  • Preferred working knowledge on the implementation of datalake ETL using AWS glue, Databricks etc.
  • Experience with data modelling techniques for cloud data stores and on prem databases like Teradata, Teradata Vantage (TDV) etc.
  • Preferred working experience in ETL development in Teradata vantage and data migration from on prem to Teradata vantage.
  • Proficiency in SQL, relational and non-relational databases, query optimization and data modelling.
  • Experience with source code control systems like Gitlab.
  • Experience with large scale distributed relational and NoSQL database systems.

Georgia IT logo

About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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