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Spatial Data Manager Jobs in Washington (NOW HIRING)

GRVTY

Geospatial Data Manager

Springfield, VA

... maintain spatial data, ensuring alignment with established metadata and extraction standards ... Leveraging relational database management systems, you will design, normalize, and optimize data ...

GRVTY

Geospatial Data Manager

Springfield, VA · On-site

$120K - $140K/yr

Knowledge of enterprise geodatabases, such as Spatial Database Engines (SDEs) * Knowledge of tools ... GEOINT Professional Certification - Geospatial Data Management (GDM) Pay Range: At GRVTY, we ...

GRVTY

Geospatial Data Manager

Springfield, VA · On-site

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Knowledge of enterprise geodatabases, such as Spatial Database Engines (SDEs) * Knowledge of tools ... GEOINT Professional Certification - Geospatial Data Management (GDM) Pay Range: At GRVTY, we ...

Electrosoft

Data Architect

Arlington, VA · On-site +1

$73.25 - $94.25/hr

Experience designing and managing enterprise databases, data warehouses, data lakes, and analytics platforms. * Knowledge of relational, non-relational, and spatial database technologies.

Vantor

Senior Geospatial Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

... querying, and managing spatial or tabular data. • Strong analytical, problem-solving ... communication, and customer engagement skills. • Proven ability to work independently with ...

CSS, Inc

GIS Analyst

Chevy Chase, MD · On-site

Experience with data preparation, data management, workflows, cartography, spatial analysis, and coordinate reference systemsExperience with compiling and manipulating raster datasetsProficiency ...

CSS, Inc

GIS Analyst

Silver Spring, MD

Integrate spatial data from various sources, including with non-spatial datasets to provide comprehensive analyses * Develop and maintain geodatabases and other geospatial data management tools to ...

CSS, Inc

GIS Analyst

Chevy Chase, MD · On-site

Integrate spatial data from various sources, including with non-spatial datasets to provide comprehensive analyses * Develop and maintain geodatabases and other geospatial data management tools to ...

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Spatial Data Manager information

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?

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

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

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

What cities in Washington are hiring for Spatial Data Manager jobs?

Cities in Washington with the most Spatial Data Manager job openings:

Spatial Data Manager jobs near you
Infographic showing various Spatial Data Manager job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Geospatial Data Manager

GRVTY

Springfield, VA

Full-time

Posted 15 days ago

Job description

What You'll Be Owning:

In this role, you will support mission-critical intelligence operations by managing, structuring, and optimizing geospatial and enterprise data to ensure accuracy, accessibility, and usability across analytic environments. You will apply your expertise in GIS, data schemas, and georeferencing to organize and maintain spatial data, ensuring alignment with established metadata and extraction standards. Leveraging relational database management systems, you will design, normalize, and optimize data architectures to enhance performance and scalability, while supporting enterprise geodatabases such as Spatial Database Engines (SDEs).

What Impact You'll Have:

You will utilize tools including the ArcGIS Suite, ArcGIS Online, Portal, SQL, Oracle, Excel, and Access to store, manage, and maintain high-quality datasets that enable downstream analysis. Additionally, you will collaborate closely with analysts, engineers, and cross-functional mission partners to improve data workflows, enforce data governance best practices, and ensure that data is structured to effectively support GEOINT and multi-INT mission requirements. This role requires a proactive mindset, attention to detail, and a strong commitment to team success in a fast-paced, mission-driven environment.

What You Must Have:

  • Active TS/SCI Clearance is required with the ability to obtain a CI Poly.
  • 10+ years of relevant experience. (A combination of years of experience, professional certifications, and education may be used in lieu of years of experience)
  • Demonstrated understanding of GIS, data schemas, and the geo-referencing of information
  • Knowledge of extraction and metadata specifications
  • Knowledge of Relational Database Management System (RDBMS) architectures, best practices for data normalization, and performance tuning/optimization techniques
  • Knowledge of enterprise geodatabases, such as Spatial Database Engines (SDEs)
  • Knowledge of tools such as the ArcGIS Suite, ArcGIS Online, Portal, Excel, Access, and SQL for the storage, organization, and maintenance of spatial data
  • Familiarity with ontology concepts as they relate to information systems, data modeling, and data relationships
  • Strong collaboration skills with the ability to work effectively as a team player across technical and mission-focused teams

What Would Be Nice to Have:

  • Knowledge of scripting languages, such as R or Python
  • Demonstrated understanding of cartographic principles
  • Knowledge of Tableau or other data visualization tools
  • Experience supporting data governance, data stewardship, or data quality initiatives in enterprise environments
  • Certifications:
    • GEOINT Professional Certification - Fundamentals (F)
    • GEOINT Professional Certification - Geospatial Data Management (GDM)

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