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Spatial Data Jobs in Virginia (NOW HIRING)

Vantor

GIS Engineer (Mid)

Reston, VA · On-site

Required : • Bachelor's degree in GIS or related field with 4-7 years of experience. • Experience with GIS software and spatial data analysis. • Develops geospatial applications and performs ...

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 ...

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.

Esri

Sr. GIS Solution Engineer- Health & Sciences

Vienna, VA · On-site

$55.50 - $71.50/hr

Be a technical leader of Esri technology as well as a subject matter expert of spatial data science. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex ...

DANE LLC

System Analyst -Cityworks

Triangle, VA · On-site

Collaborate with GIS staff to ensure accurate spatial data integration and assetmapping. * Manage vendor relationships and coordinate with Cityworks support for issueresolution and enhancements.

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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 Aug 14, 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 August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

GIS Governance Coordinator

Cyber Resource

Richmond, VA

Contractor

Re-posted 1 hour ago

Job description

The GIS Governance Coordinator is responsible for establishing, improving, and managing enterprise GIS governance practices. This role leads key initiatives focused on inventory, workforce role and skills standardization, data lifecycle governance, and special projects. The position plays a critical role in advancing GIS-related VDOT Business Plan items and facilitating consistent, high‑quality GIS data management across the organization.

General Responsibilities:

  • Maintain documentation related to GIS governance.
  • Facilitate cross‑department coordination to ensure consistent adoption of governance practices.
  • Prepare reports, presentations, and briefings for leadership and governance committees.
  • Support enterprise GIS strategic planning and continuous improvement activities.

Required Knowledge, Skills, and Abilities:

  • Knowledge of GIS principles, data management, and enterprise GIS environments.
  • Understanding of data governance concepts including stewardship, lifecycle management, metadata, and data quality.
  • Ability to manage complex projects, engage stakeholders, and coordinate cross‑functional teams.
  • Skills in research, analytical thinking, workflow documentation, and process design.
  • Strong communication abilities, including writing governance documents and presenting technical findings to nontechnical audiences.
  • Experience with GIS technologies such as Esri tools, enterprise geodatabases, and spatial data services.

Preferred Qualifications:

  • Experience with geospatial governance or enterprise data governance programs.
  • Familiarity with transportation data domains.
  • Experience developing skill frameworks or role competency models for technical disciplines.
 
SkillRequired / DesiredAmountof ExperienceKnowledge of GIS principles, data management, and enterprise GIS environments.Required8YearsUnderstanding of data governance concepts including stewardship, lifecycle management, metadata, and data quality.Required8YearsAbility to manage complex projects, engage stakeholders, and coordinate cross-functional teams.Required8YearsSkills in research, analytical thinking, workflow documentation, and process design.Required8YearsStrong communication abilities, including writing governance documents and presenting technical findings to nontechnical audiences.Required8YearsExperience with GIS technologies such as Esri tools, enterprise geodatabases, and spatial data services.Required8Years