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Geospatial Data Engineer Remote Jobs in Richmond, VA

Data Engineer - Remote

Richmond, VA ยท On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

AI/ML Engineer + Data engineer (W2)

Glen Allen, VA ยท Remote

$117K - $140K/yr

AI/L Engineer remote (USA) contract to hire, . โ€ฏ Top skills: Python; Java nice to have AWS Cloud AI/ML; A/B framework Data Engineering Containerization DevOps โ€ฏ looking for an Engineer with a ...

Data Engineer

Richmond, VA ยท Remote

$113K - $136K/yr

Join a fully remote opportunity where you'll help shape data-driven reporting, streamline workflows ... This role blends hands-on data engineering with dashboard development, offering the chance to work ...

New

The solutions we create apply exciting technologies such as geospatial visualization and analytics ... Government Contract Mandates and access to sensitive public safety data. * Experience with ...

A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday ... Design and implement repeatable analytics pipelines, feature engineering strategies, and model ...

... remote work. This includes participation in key meetings and workgroup meetings at the jobsite ... Responsible for coordination with Data Engineering, Solution Architecture, Analytics and offsite ...

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Showing results 1-20

Geospatial Data Engineer Remote information

See Richmond, VA salary details

$44K

$128.4K

$175.7K

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

As of Aug 20, 2026, the average yearly pay for geospatial data engineer remote in Richmond, VA is $128,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 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 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 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 most commonly searched types of Geospatial Data Engineer jobs in Richmond, VA?

The most popular types of Geospatial Data Engineer jobs in Richmond, VA are:

What are popular job titles related to Geospatial Data Engineer Remote jobs in Richmond, VA?

For Geospatial Data Engineer Remote jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Richmond, VA look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Geospatial Data Engineer Remote jobs?

Cities near Richmond, VA with the most Geospatial Data Engineer Remote job openings:

Infographic showing various Geospatial Data Engineer Remote job openings in Richmond, VA as of August 2026, with employment types broken down into 2% As Needed, 69% Full Time, 4% Part Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,371 per year, or $61.7 per hour.

Data Engineer - Remote

NAVA Software Solutions

Richmond, VA โ€ข On-site, Remote

$113K - $136K/yr

Full-time

Re-posted 19 days ago


Job description

NAVA Software solutions is looking for a Data Engineer
Details:
Data Engineer
Location: 100% Remote
Duration: 12 months
Required Qualifications:
  • 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript
  • 3+ Years Experience in AWS Cloud Technologies (ECS, EC2/Fargate, S3, Lambda, EMR, SQS, DynamoDB etc.)
  • 3+ Years Experience in DevOps (Git, Docker, Jenkins, CICD Pipelines etc.)
  • 3+ Years Experience working on streaming data platforms (e.g. Kafka, Flink, or Spark Streaming)
  • 3+ Years Experience in open source frameworks (Spring Boot, React.js etc.)
  • 2+ Years Better to have experience in Agile practices
  • Preferred to have experience with Salesforce Marketing Cloud (SFMC)

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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