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Spatial Analysis Jobs in Seattle, WA (NOW HIRING)

RMSI

Sr. FME Analyst

Seattle, WA · On-site

The role involves in performing Spatial Data conversion using FME.Design, troubleshoot and automate spatial data transformation workflows. Key responsibilities include: FME proficiencies in ...

City of Renton

GIS Analyst 1-3

Renton, WA · On-site

$92K - $127K/yr

Perform analysis of spatial and tabular data to support projects and business needs. Research and acquire external spatial and non-spatial data as required to support projects and business needs.

Uw

Research Scientist/Engineer 3

Seattle, WA

This position supports the analysis of spatial transcriptomic data generated from kidney biopsy tissue using 10x Genomics platforms including Visium, Visium HD, and Xenium Prime 5K. The role involves ...

WSP

Environmental Data Analytics Specialist

Redmond, WA

$75K - $87K/yr

Perform both geographic and non-geographic data manipulation, data management and analysis, and ... Experience using ESRI's ArcGIS Spatial Analyst Extension * Proficient with programming languages ...

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Showing results 21-40

All JobsSpatial Analysis JobsSpatial Analysis Jobs in Seattle, WA

Spatial Analysis information

See Seattle, WA salary details

$114.4K

$140.1K

$174.1K

How much do spatial analysis jobs pay per year?

As of Aug 8, 2026, the average yearly pay for spatial analysis in Seattle, WA is $140,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $145,700.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect in a spatial analysis role?

As a Spatial Analysis professional, you'll typically work on projects involving the collection, processing, and interpretation of location-based data to support initiatives like urban planning, environmental assessment, or infrastructure development. Your daily responsibilities may include creating detailed maps, analyzing spatial trends, and presenting actionable insights to other departments or clients. Collaboration with planners, engineers, and decision-makers is common, requiring the ability to adapt your findings for both technical and non-technical audiences. This role offers variety and the opportunity to see your work directly inform real-world projects, providing a strong foundation for career growth in areas such as GIS management, data science, or project leadership.

Is geospatial analysis a good career?

Geospatial analysis is a growing field that involves using GIS software, remote sensing, and spatial data to solve real-world problems across industries like urban planning, environmental management, and transportation. It offers opportunities for technical skill development, often requires proficiency in tools like ArcGIS or QGIS, and can provide stable employment with competitive salaries. Overall, it is considered a promising career for those interested in spatial data and analysis.

What is a spatial analysis?

A Spatial Analysis job involves using geographic information systems (GIS), remote sensing, and statistical techniques to analyze spatial data and identify patterns, relationships, and trends. Professionals in this field work in industries such as urban planning, environmental science, transportation, and public health to support decision-making and problem-solving. They often use mapping software, data visualization, and programming languages like Python or R to process and interpret spatial data efficiently.

Is a spatial analysis in demand?

Spatial analysis is in high demand across industries such as urban planning, environmental management, and transportation, as organizations increasingly rely on geographic data to inform decisions. Professionals skilled in GIS software, data visualization, and spatial statistics are sought after, with job growth expected to continue as data-driven approaches expand.

What are the key skills and qualifications needed to thrive in a spatial analysis position?

To succeed in Spatial Analysis, you need a strong background in geography, cartography, data analysis, and statistics, often supported by a relevant degree or certification such as GIS (Geographic Information Systems). Familiarity with technical tools like Esri ArcGIS, QGIS, spatial databases, and programming languages such as Python or R is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and share insights with diverse stakeholders. These abilities are crucial for accurately analyzing spatial data to inform decision-making across urban planning, environmental management, and commercial projects.

What are popular job titles related to Spatial Analysis jobs in Seattle, WA? For Spatial Analysis jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Spatial Analysis jobs in Seattle, WA look for? The top searched job categories for Spatial Analysis jobs in Seattle, WA are:
Spatial Analysis jobs near you
Infographic showing various Spatial Analysis job openings in Seattle, WA as of August 2026, with employment types broken down into 5% Internship, 75% Full Time, 10% Part Time, and 10% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $140,136 per year, or $67.4 per hour.

Sr. FME Analyst

RMSI

Seattle, WA • On-site

Full-time

Re-posted 24 days ago

Job description


Role description: The role involves in performing Spatial Data conversion using FME.Design, troubleshoot and automate spatial data transformation workflows.
Key responsibilities include:
FME proficiencies in converting spatial formats based on process flow requirements
Ability to ingest and transform common data formats for tabular and geospatial information.
Working knowledge of software asset control in GitHub.
Ability to execute and troubleshoot SQL queries in a PostGIS database.
Experience with Postgres spatial functions, using pgAdmin, MySQL, or other sql databases.
Demonstrated ability to perform open-source research with a variety of search tools and techniques.
Experience with database manipulation using python (pandas), R, or other language.
Experience working with datasets in JSON file format.
Familiarity with regex and hive.
Requirements
Qualifications:
Technical experience in FME Software, and QGIS will be added advantage.
Strong understanding of working on various GIS and Non GIS formats
Analytical mindset with an innovative approach to solving issues
Required Competencies/Experience:
5 years practical experience in developing FME workbench models.
1 year experience in successfully delivering FME workflows for Apple Maps.
Experience working on Maps related program for Large Map development companies is a must.
Has experience working on digital map production environment and responsible for Delivery and Quality functions.

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