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Spatial Data Manager Jobs in Washington, DC (NOW HIRING)

Description Geospatial Data Analyst At B&A, we foster and embrace a distinct set of values that we ... Use QGIS to perform spatial analysis, create maps, manage geospatial layers, and develop visually ...

Geospatial Data Analyst

Mclean, VA · On-site

$75K - $82K/yr

Geospatial Data Analyst At B&A, we foster and embrace a distinct set of values that we live by and ... spatial analysis, create maps, manage geospatial layers, and develop visually effective ...

Showing results 21-40

Spatial Data Manager information

See Washington, DC salary details

$35.1K

$110K

$194.8K

How much do spatial data manager jobs pay per year?

As of Sep 15, 2026, the average yearly pay for spatial data manager in Washington, DC is $110,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $142,100.00 per year, depending on experience, location, and employer.

What is a spatial data manager?

Spatial Data Managers are professionals responsible for organizing, maintaining, and overseeing spatial or geographic data within an organization. They ensure the accuracy, accessibility, and security of geospatial datasets used in mapping, analysis, and decision-making processes. Their role often involves using Geographic Information Systems (GIS), coordinating with other technical staff, and developing data management standards and protocols. Spatial Data Managers support various industries, including urban planning, environmental science, utilities, and transportation.

What are the key skills and qualifications needed to thrive as a spatial data manager?

To excel as a Spatial Data Manager, you need expertise in geospatial data analysis, spatial database management, and a degree in geography, GIS, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), database systems (like PostgreSQL/PostGIS), and data standards is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for managing complex datasets and collaborating with stakeholders. These abilities ensure accurate data management, efficient workflows, and informed decision-making in organizations reliant on spatial information.

What are some common challenges spatial data managers face when maintaining large geospatial databases?

Spatial Data Managers often encounter challenges related to data quality, integration of multiple data sources, and ensuring data consistency across platforms. Managing large volumes of geospatial data requires robust organizational systems and regular data validation to prevent errors or duplication. Additionally, they must stay up-to-date with evolving GIS technologies and standards while coordinating with cross-functional teams like analysts, engineers, and project managers to support various mapping and spatial analysis needs.

What is the difference between Spatial Data Manager vs GIS Analyst?

AspectSpatial Data ManagerGIS Analyst
CredentialsBachelor's or higher in GIS, Geography, or related field; GIS certificationsBachelor's or higher in GIS, Geography, or related field; GIS certifications
Work EnvironmentData management teams, GIS departments, urban planning firmsMapping projects, spatial analysis teams, environmental agencies
Industry UsageOrganizations managing large spatial datasets, government agenciesAnalysis and visualization of spatial data for projects
Search & ComparisonFocuses on data management, database systems, and infrastructureFocuses on spatial analysis, mapping, and GIS software applications

The main difference is that a Spatial Data Manager oversees the organization, storage, and maintenance of spatial datasets, ensuring data quality and accessibility. In contrast, a GIS Analyst primarily conducts spatial analysis and creates maps using GIS software. Both roles require similar credentials but serve different functions within GIS projects.

What are popular job titles related to Spatial Data Manager jobs in Washington, DC?

For Spatial Data Manager jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Spatial Data Manager jobs in Washington, DC look for?

The top searched job categories for Spatial Data Manager jobs in Washington, DC are:

Infographic showing various Spatial Data Manager job openings in Washington, DC as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $110,026 per year, or $52.9 per hour.

GIS Geodatabase Engineer

Quantico, VA • On-site

Xcellent Technology Solutions (XTS)
11 - 50 employees

Full-time

Re-posted 8 days ago


Job description

Job Summary:
Xcellent Technology Solutions (XTS) is committed to supporting national security through innovative technology solutions. They are seeking a GIS Geodatabase Engineer to manage large datasets and maintain secure systems for the Marine Corps Intelligence Activity, focusing on automation, advanced spatial data modeling, and security processes.
Responsibilities:
• Managing large datasets and maintaining secure systems
• Working with Geospatial Support Services (GSS) technology
• Demonstrating hybrid programming expertise and geospatial specialization
• Working within enterprise-scale geodatabases
• Automating database processes
• Conducting advanced spatial data modeling
• Focusing on the hardening of the agency’s security processes
Qualifications:
Required:
• Bachelor’s degree in a related field and 12 years of relevant professional experience
• 6 years of professional experience should include consistent familiarity with ESRI software
• Department of Defense’s Cyber Workforce Framework qualification
• Relevant Database Administrator certification (e.g. MSSQL, PostgreSQL)
• ESRI Enterprise Geodata Management Professional certification
• Senior-level expertise in the design, implementation, security, and management of enterprise-scale geodatabases
• Possession of strong Database Administrator proficiency in platforms like PostgreSQL and SQL Server
• Senior-level Python and SQL proficiency to conduct automation of database processes, advanced spatial data modeling, performance optimization, and implementing robust backup and recovery procedures
Company:
Xcellent Technology Solutions, Inc. Founded in 2005, the company is headquartered in Haymarket, USA, with a team of 51-200 employees. The company is currently Growth Stage.