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Spatial Data Jobs in Virginia (NOW HIRING)

Robert Half

GIS Analyst

Charlottesville, VA · On-site

$45.13 - $52.25/hr

This role performs advanced GIS analysis, database management, application support, digital mapping, and spatial data maintenance activities. The GIS Analyst works collaboratively with internal ...

Stem Xpert

GIS Specialist/Analyst

Richmond, VA

Analyze spatial data for geographic statistics to incorporate into documents and reports. Design and update feature classes for enterprise data, applying knowledge of spatial feature representations.

PeopleNTech

GIS Governance Coordinator

Richmond, VA · On-site

Experience with GIS technologies such as Esri tools, enterprise geodatabases, and spatial data services. Preferred Qualifications: * Experience with geospatial governance or enterprise data ...

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All JobsSpatial Data JobsSpatial Data Jobs in Virginia

Spatial Data information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do spatial data jobs pay per year?

As of Jul 24, 2026, the average yearly pay for spatial data in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Spatial Data Analyst, and why are they important?

To excel as a Spatial Data Analyst, you need a strong background in geography, GIS, data analysis, and a relevant degree such as geography, environmental science, or computer science. Proficiency in GIS software (e.g., ArcGIS, QGIS), spatial databases (like PostGIS), and programming languages such as Python or R is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are essential for accurately interpreting spatial data, generating actionable insights, and effectively sharing findings with stakeholders.

What are some typical challenges faced by spatial data analysts when working with large geospatial datasets?

Spatial data analysts often encounter challenges related to data quality and integration when working with large geospatial datasets. Issues such as inconsistent data formats, missing metadata, and varying spatial resolutions can complicate analysis. Additionally, managing the computational load of processing and visualizing large, complex datasets may require specialized software and robust hardware. Collaborating closely with GIS specialists, IT teams, and data engineers helps to address these challenges and ensure reliable results.

What is the difference between Spatial Data vs GIS Analyst?

AspectSpatial DataGIS Analyst
Required CredentialsGIS certifications, degrees in geography, GIS, or related fieldsGIS certifications, degrees in geography, GIS, or related fields
Work EnvironmentData collection, database management, mapping softwareData analysis, map creation, spatial problem-solving
Employer & Industry UsageUsed by GIS professionals, urban planners, environmental agenciesEmployed in government, consulting firms, environmental organizations
Search & Comparison IntentUnderstanding data types, data managementAnalyzing spatial data, creating maps, reports

Spatial Data refers to the raw geographic information used in mapping and analysis, while a GIS Analyst actively interprets, analyzes, and visualizes this data to support decision-making. Both roles require similar credentials and are integral to GIS projects, but Spatial Data is the foundational information, whereas GIS Analysts focus on applying that data to solve spatial problems.

What is spatial data?

Spatial data, also known as geospatial data, refers to information about the physical location and shape of objects on Earth. This data is usually stored as coordinates and topology and can represent features such as buildings, roads, rivers, or even entire countries. Spatial data is used in mapping, geographic information systems (GIS), urban planning, environmental studies, and various other fields to analyze locations, patterns, and relationships. It can be stored in formats like vector (points, lines, polygons) or raster (grids, images). Understanding spatial data is essential for making informed decisions based on geographic information.
What are popular job titles related to Spatial Data jobs in Virginia? For Spatial Data jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Spatial Data jobs in Virginia look for? The top searched job categories for Spatial Data jobs in Virginia are:
Spatial Data jobs near you
Infographic showing various Spatial Data job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 12% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.
Technical Consultant- Enterprise Data Engineer

Technical Consultant- Enterprise Data Engineer

Esri

Vienna, VA

Other

Posted 17 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

5th of 217 rated software companies

Job description

Overview

In this position, you will partner with customers on enterprise database design and implementation strategies while applying Esri technology best practices. You will consult with customers to understand business and technical requirements, design enterprise data management strategies, and implement those strategies throughout the engagement life cycle. You will work both independently and as part of project teams to configure back-end geospatial database management capabilities that support customer workflows utilizing ArcGIS web, desktop, and mobile applications.

This team supports Defense and Intel clients. You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference in communities around the world. You will be part of a team that influences lasting contributions for communities with the solutions you provide. 

The Professional Services division is the consulting and implementation arm of Esri. We break ground in new markets, push the technology envelope and deliver transformational solutions to high profile clients worldwide. The Professional Services organization is comprised of nearly 1,000 talented business and technical professionals who strive every day to help our users be successful.

Esri has a Relocation Assistance Program and can provide support with relocating to the Vienna, VA area for this position.

Responsibilities

  • Design and implement robust, scalable, and secure database solutions to support mission-critical applications
  • Collaborate with cross-functional teams during all phases of implementation including requirements, analysis, design, build/configuration, and deployment
  • Configure and maintain database environments, including backup, restore, high-availability, and disaster recovery strategies
  • Monitor and tune database performance using industry-standard tools and methodologies (such as query optimization, indexing strategies)
  • Implement data security measures, access controls, and compliance standards across environments
  • Automate routine database loading, maintenance, and monitoring tasks to improve efficiency
  • Provide technical guidance and best practices for database design, migration, and integration projects

Requirements

  • 5+ years of hands-on experience in database design, administration, and optimization for Oracle, SQL Server, PostgreSQL, or SAP HANA
  • Familiarity with database design principles, data loading techniques, backup and recovery solutions, performance monitoring and tuning, database maintenance, and security
  • Scripting skills in SQL and Python for automation and data workflows
  • Exposure to geospatial concepts such as spatial data types, coordinate systems, and spatial indexing
  • Ability to clearly communicate complex technical concepts to technical peers and non-technical project managers or customers
  • US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
  • Bachelor's degree in computer science, mathematics, GIS, or related STEM field

Recommended Qualifications

  • Experience with ArcGIS Enterprise geodatabases
  • Knowledge of integrating GIS with other enterprise systems
  • CompTIA Security + certification
  • One or more industry-standard IT certifications (such as Esri, Microsoft, Amazon, PostgreSQL, Oracle)
  • Master`s degree in computer science, mathematics, GIS, or related STEM field

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Pay

Benefits

Hours and flexibility

Workplace

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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