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Spatial Data Science Jobs in Seattle, WA (NOW HIRING)

Uw

Research Scientist/Engineer 3

Seattle, WA

This position supports the analysis of spatial transcriptomic data generated from kidney biopsy ... Bachelor's degree in Bioinformatics, Computational Biology, Biostatistics, Data Science or a ...

Xevo

(131) Software Development Engineer

Seattle, WA

... geodata spatial, data science, cloud native, 4G and 5G networking and continuous delivery and integration. At the end, you will be a well-rounded, full-stack engineer. Our Software Development ...

Xevo

(141) Senior Software Development Engineer

Seattle, WA

$139K - $183K/yr

... geodata spatial, data science, cloud native, 4G and 5G networking and continuous delivery and integration. At the end, you will be a well-rounded, full-stack engineer. Our Software Development ...

Microsoft

Software Engineer

Redmond, WA · On-site

$102K - $202K/yr

AI and Agent enabled spatial services If you're excited about turning complex spatial data into ... Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering ...

DigiPen

Adjunct Professor in Computer Science

Redmond, WA · On-site

$6K - $12K/mo

The Department of Computer Science at DigiPen Institute of Technology is currently seeking ... Topics include creation and usage of spatial data structures, object-culling strategies, geometry ...

WSP

Experienced Environmental Scientist

Redmond, WA

$84K - $110K/yr

... science of the interactions between the physical, chemical, and biological components of the ... Collect, identify, and compile observational, spatial, and environmental data from samples of air ...

WSP

Experienced Environmental Scientist

Redmond, WA · On-site

$84K - $110K/yr

... science of the interactions between the physical, chemical, and biological components of the ... Collect, identify, and compile observational, spatial, and environmental data from samples of air ...

FLO Analytics

GIS Technician II

Seattle, WA · On-site

$72K - $79K/yr

... in environmental science, engineering, planning, communications, and GIS. This position will ... Ability to analyze spatial data and support technical problem solving * Strong organizational ...

Flo Analytics

GIS Analyst - Seattle

Seattle, WA · On-site

$80K - $86K/yr

... in environmental science, engineering, planning, communications, and GIS. This position will ... Understanding of GIS data structures, spatial analysis, and spatial data management. * Ability to ...

Flo Analytics

GIS Technician II

Seattle, WA · On-site

$72K - $79K/yr

... in environmental science, engineering, planning, communications, and GIS. This position will ... Ability to analyze spatial data and support technical problem solving * Strong organizational ...

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All JobsSpatial Data Science JobsSpatial Data Science Jobs in Seattle, WA

Spatial Data Science information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do spatial data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for spatial data science in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

What are the key skills and qualifications needed to thrive as a Spatial Data Scientist, and why are they important?

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What is the difference between Spatial Data Science vs Geospatial Analyst?

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.
What are popular job titles related to Spatial Data Science jobs in Seattle, WA? For Spatial Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in Seattle, WA look for? The top searched job categories for Spatial Data Science jobs in Seattle, WA are:
Spatial Data Science jobs near you
Infographic showing various Spatial Data Science job openings in Seattle, WA as of June 2026, with employment types broken down into 2% As Needed, 72% Full Time, 25% Part Time, and 1% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

3D Data Annotator (3‑Month Temp‑to‑Perm)

Overland AI

Seattle, WA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Overland AI is a company transforming land operations for modern defense, leveraging advanced research in robotics and machine learning. They are seeking a meticulous 3D Data Annotator to work with 3D data captured from autonomous vehicle platforms, providing high-quality annotations that drive AI models.
Responsibilities:
• Use specialized software tools to accurately label and annotate objects, terrains, and surfaces within complex 3D datasets.
• Interpret raw point cloud data and 3D environments captured by our autonomous vehicle sensor suites.
• Maintain strict adherence to annotation guidelines to ensure high standards of data quality and consistency.
• Collaborate with the engineering team to refine labeling guidelines and provide feedback to improve tooling workflows.
• Identify and document edge cases, anomalies, or unexpected variables within the collected sensor data.
Qualifications:
Required:
• 3+ years of experience in 3D annotation, 3D modeling, GIS, level design, architectural drafting, or related spatial data field
• Demonstrated experience using at least one 3D software tool (e.g., Blender, Maya, AutoCAD, ArcGIS, Unreal Engine, Unity, CloudCompare, or similar)
Preferred:
• Direct experience with LiDAR point cloud processing, photogrammetry workflows, or autonomous vehicle sensor data
• Proven ability to interpret and manipulate point cloud data, 3D meshes, or volumetric datasets
• Demonstrated proficiency in navigating, manipulating, and interpreting 3D spatial environments.
• Track record of producing annotation, modeling, or drafting work that meets defined quality standards and specifications
• Proven ability to follow technical guidelines and maintain consistency across large datasets (demonstrated through prior work samples or references)
• Familiarity with version control or annotation quality assurance processes
• Experience collaborating with engineering or data science teams in an iterative development environment
• Prior experience working specifically with autonomous vehicle data, LiDAR point clouds, or photogrammetry.
• Familiarity with common 3D, GIS, or engine software tools (e.g., Blender, Maya, AutoCAD, ArcGIS, Unreal Engine, Unity).
Company:
Overland AI develops autonomous ground vehicle technology for tactical and operational applications. Founded in 2022, the company is headquartered in Seattle, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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