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Spatial Data Manager Jobs in Washington (NOW HIRING)

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 ...

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 ...

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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:

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.

GIS Analyst

Chevy Chase, MD • On-site

Full-time

Re-posted 17 days ago


Job description

CSS is seeking to hire a GIS Analyst to join the NOAA Seascape Ecology and Analytics (SEA) Branch! We need a qualified individual to process, analyze and manage geospatial data to support a variety of environmental assessment, restoration, and habitat modeling projects. This position requires proficiency with GIS software and the technical aspects of processing and managing large and complex geospatial datasets. Familiarity with coastal, marine, or freshwater datasets are desirable. The ideal candidate will drive innovative GIS solutions, engage, and work closely with a project team, and have excellent problem-solving skills.
The NOAA Seascape Ecology and Analytics (SEA) Branch is an interdisciplinary research group of contract and federal employees within NOAA's National Centers for Coastal Ocean Science (http://coastalscience.noaa.gov/), a nationally recognized scientific research program that conducts spatial ecological analysis, statistical modeling, ecological forecasting, and predictive mapping to support marine ecosystem management, conservation, and spatial planning.
Responsibilities
  • Collect, clean, and process spatial data from various sources such as lidar, multibeam, remotely operated vehicle navigation systems, satellite imagery, GPS data, and public datasets
  • Conduct statistical analysis to analyze scientific data and to determine accuracy of derived products, such as maps and models
  • 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 promote efficient access and retrieval of project data
  • Design and produce high-quality maps and visual representations of geospatial data for reports, presentations, and decision support
  • Develop and manage web maps and dashboards
  • Create geoprocessing and data management workflows
  • Utilize Python, R and other scripts to support data processing and analysis
  • Develop metadata and prepare technical documentation describing workflows
  • Support project field teams in developing data collection tools for GIS and field surveys
  • Work in the field to collect geospatial data using a variety of environmental instruments and sensors
  • Work closely with scientists, analysts, engineers, and other team members to integrate GIS capabilities into broader project workflows

Qualifications / Skill Requirements:
  • Bachelor's Degree in Geographic Information Systems, Geography, Earth Science, Computer Science, or closely related field, and at least one year of professional experience performing geospatial analysis, GIS data management, geospatial project coordination, or spatial modeling. An Associate's Degree may substitute for a Bachelor's Degree; a Master's Degree in GIS or closely related field may substitute for professional experience.
  • Experience with data preparation, data management, workflows, cartography, spatial analysis, and coordinate reference systems
  • Experience with compiling and manipulating raster datasets
  • Proficiency using R, Python, or other similar scripting languages to manipulate data and develop reproducible workflows
  • Proficiency with ArcGIS Pro
  • Ability to maintain focus on routine and repetitive tasks, and strong attention to detail and task tracking
  • Effective verbal and written communication skills
  • Ability to be flexible in responding to changes in schedules and job priorities
  • Ability to work independently and collaboratively as part of a team with strong organizational and time management skills
  • Able to work on a small boat collecting and/or managing geospatial data
  • Experience with basic computer programs such as excel and word
  • Able to work in the US without sponsorship

At CSS, we are committed to fostering an inclusive and merit-based workplace. We provide equal employment opportunities to all individuals, ensuring that hiring and employment decisions are based on qualifications, skills, and performance. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.