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

... data services. This role works closely with senior developers and architects to deliver scalable ... Support spatial database design and management using PostgreSQL/PostGIS, SQL Server, and ESRI ...

... data services. This role works closely with senior developers and architects to deliver scalable ... Support spatial database design and management using PostgreSQL/PostGIS, SQL Server, and ESRI ...

... to manage spatial and related tabular data • Builds databases by capturing map information with coordinate digitizer • Produces computer map products depicting contents of databases, Locates ...

... to manage spatial and related tabular data • Builds databases by capturing map information with coordinate digitizer • Produces computer map products depicting contents of databases, Locates ...

Understanding of geospatial data formats, spatial data standards, and data management practices. . Familiarity with cloud-based GIS environments, preferably in AWS-heavy enterprise settings.

... 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 ...

Be a technical leader of Esri technology as well as a subject matter expert of spatial data science ... CRM, ERP, and analytics platforms * Programming and scripting experience with languages such as ...

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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 Jul 16, 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 are the key skills and qualifications needed to thrive as a Spatial Data Manager, and why are they important?

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 Spatial Data Managers?

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 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:
Geospatial Data Scientist with Security Clearance

Geospatial Data Scientist with Security Clearance

MITRE Corporation

Fairfax, VA • On-site

Other

Posted 18 days ago


Job description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. Department Summary: MITRE's Model-Based Analytics Department (L144) is looking for qualified applicants to bring their geospatial, machine learning, advanced analytics, and applied research skills to bear on solving problems of critical national importance. MITRE's diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as healthcare, transportation, and national security. Employees may also participate in MITRE's internal research and development program, which provides funding for innovative applied research that addresses our sponsors' hardest problems. Our department is an interdisciplinary department that thrives on having a large toolbox to support data- and model-driven decision making. We value people who can bring diverse and inclusive perspectives. Our department works to solve modeling and analytic problems in the public interest, in partnership with the government. We also actively conduct independent research in areas of interest to our government partners. If you are passionate about being a Data Scientist that specializes in Geospatial Information Sciences, your skill sets align with our capabilities, and you like working in a collaborative, team-oriented environment, we want to hear from you! Roles & Responsibilities: The successful candidate for this position is a geospatial data scientist who combines a solid theoretical and technical background with the ability to formulate problems, develop and evaluate solutions, and communicate results. Familiarity with advanced geospatial data science, modeling, and analysis techniques and methods (e.g., supervised and unsupervised machine learning, GeoAI, Geosimulation, patiotemporal graphs) is a plus. Hands-on software development skills are a must. Candidates should have a strong understanding of how to engineer spatial solutions for geospatial systems and architecture in both traditional and cloud computing environments. Lifelong learning and keeping up with the latest research and technologies is an essential part of working in this field. Roles and responsibilities include: * Support the development of geospatial data science, modeling, analysis, visualization, and engineering deliverables for sponsor projects and programs, internal research and development, and corporate strategic initiatives.
* Remain current on open-source, industry, academia, and US Government techniques and tools for geospatial data science, modeling, analysis, visualization, and engineering.
* Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
* Build and test geospatial prototypes in MITRE, government, and commercial cloud environments. Basic Qualifications: * Bachelor's degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related degree.
* Minimum of 5 years of experience with a bachelor's degree or 3 years of experience with a master's degree, or a PhD with relevant hands-on experience using Geospatial data science techniques.
* Top Secret clearance
* Applied experience with common GIS tools, developing geospatial workflows, and visualizations using Python.
* Applied experience in spatial analysis and modeling, and ETL of spatiotemporal datasets and managing spatial databases.
* Applied experience in the configuration of web-mapping, dashboard applications, and remotely sensed data.
* Familiarity with geostatistics, spatial machine learning, geosimulation, or GeoAI, and multispectral and hyperspectral imagery or synthetic aperture radar.
* Familiarity working with spatiotemporal data in graph databases, such as ArcGIS Knowledge, Neo4j, or ArangoDB.
* Familiarity developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS API.
* Familiarity with geospatial data architectures and spatial database design and management, as well as containerization concepts.
* This position requires a minimum of 50% hybrid on-site.
* Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance. Preferred Qualifications: * Active TS/SCI with polygraph.
* Advanced degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related technical discipline.
* Minimum of 8 years of experience with a bachelor's degree or 5 years of experience with a master's degree, or 3 years of hands-on relevant experience using Geospatial data science techniques with a PhD.
* Experience leading technical development tasks across multi-disciplinary teams. * Applied experience with other software development languages, e.g., C++, Java, C#, JavaScript.
* Applied experience with spatiotemporal big data technologies, e.g., GeoMesa, GeoTrellis, Data Bricks, or GeoSpark (Apache Sedona).
* Applied experience with data architecture containerization concepts, e.g. Docker or Kubernetes.
* Applied experience working with remotely sensed data to include aerial and satellite imagery, multi- and hyper-spectral imagery, LiDAR, or synthetic aperture radar.
* Applied experience with applying spatial modeling and analysis techniques to the atmospheric, climate, marine, oceanic, hydrologic, geomorphologic, critical infrastructure, transportation, network, telemetry, or terrain domains.
* Experience leading or conducting research.
* Experience designing geospatial data science tasking and/or leading a team of geospatial data scientists.
* Applied experience with developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS API. * Familiarity implementing DevSecOps, DataOps, or MLOps in application development. This requisition requires the candidate to have a minimum of the following clearance(s):
Top Secret This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret Salary compensation range and midpoint:
$124,400 - $155,500 - $186,600 Annual Work Location Type:
Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here . Copyright © 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

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About MITRE

Sourced by ZipRecruiter

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us. MITRE is a trusted operator of federally funded research and development centers and we're on a mission to make the world a safer place-for all of humanity, today and in the future. To deliver on our mission, we need the world's best talent and leaders-groundbreakers and partnership-builders on a global scale in areas like healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity. In return, we have the privilege of backing you with thousands of technical experts in diverse fields, a culture of innovation and knowledge sharing, access to data and resources uniquely available to MITRE through our wide-ranging partnerships across government, industry and academia.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1958

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