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Spatial Data Jobs in Washington (NOW HIRING)

Prescient Edge

Senior Data Scientist

Herndon, VA · On-site

Possess prior experience with large data. spatial data, Multi-INT analytics, ML, and automated predictive analytics. * Work with ambiguous information, deconstruct key questions, leverage spatial ...

Vantor

GIS Engineer (Jr)

Reston, VA · On-site

Required : • Bachelor's degree in GIS or related field with 0-3 years of experience. • Experience with GIS software and spatial data analysis. • Develops geospatial applications and performs ...

Vantor

GIS Engineer (Jr)

Washington, DC · On-site

Required : • Bachelor's degree in GIS or related field with 0-3 years of experience. • Experience with GIS software and spatial data analysis. • Develops geospatial applications and performs ...

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Spatial Data information

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 Washington? For Spatial Data jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Spatial Data jobs in Washington look for? The top searched job categories for Spatial Data jobs in Washington are:
Spatial Data jobs near you
Infographic showing various Spatial Data job openings in Washington as of June 2026, with employment types broken down into 7% As Needed, 40% Full Time, 9% Part Time, 4% Temporary, 36% Contract, and 4% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Analytic Methodologist with Security Clearance

Analytic Methodologist with Security Clearance

Take2 Consulting

Springfield, VA • On-site

Other

Posted 16 hours ago

Job description

Analytic Methodologist - TS/SCI Required Skills & Qualifications: 7+ years of demonstrated experience applying quantitative and qualitative techniques to solve complex analytic problems. Experience should include tools and methodologies such as GIS, quantitative methods, data visualization, modeling, systems analysis, comparative analysis, and database development. A Bachelor’s degree in a relevant field may substitute for 3 years of experience; a Master’s degree may substitute for 2 years.

Proven expertise in data mining, cleansing, and exploration of spatial, temporal, and non-spatial data—across both structured and unstructured formats. Demonstrated proficiency with programming languages (e.g., Python, Java, JavaScript, SQL), modeling software, spatial analysis tools, data mining methods, database structures, and analytic information extraction and visualization. Active TS/SCI clearance required, with the ability to obtain a CI Polygraph.

Senior-Level Expectations: Senior Analytic Methodologists are expected to lead, integrate, and define analytic tasks and validate outcomes. Individuals at this level demonstrate advanced expertise and independence in their field, fully capable of delivering all required services without supervision. Key responsibilities include: Providing leadership, guidance, and mentorship to junior and mid-level analysts.

Conducting quality control and assurance reviews of analytic work products. Offering subject matter expertise and advisory support to Government leadership on processes, procedures, and emerging technologies. Leading collaborative efforts across NGA and the Intelligence Community to produce synergized, mission-driven analysis that exceeds individual contributions.

Delivering senior-level analytic and operational support to NGA office-level leadership.

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