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

Meta

Computer Vision Engineer

Bellevue, WA

$154K/yr

... Science, Computer Engineering, relevant technical field, or equivalent practical experience * Background in computer vision, classical image processing, and 2D/3D spatial data analysis * Experience ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

... science field. * Experience with laboratory analytical data packages and electronic data reports * Experience using ESRI's ArcGIS Spatial Analyst Extension * Proficient with programming languages ...

WSP

Environmental Data Analytics Specialist

Redmond, WA

$75K - $87K/yr

... science field. * Experience with laboratory analytical data packages and electronic data reports * Experience using ESRI's ArcGIS Spatial Analyst Extension * Proficient with programming languages ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$66K - $77K/yr

... science field. * Experience with laboratory analytical data packages and electronic data reports * Experience using ESRI's ArcGIS Spatial Analyst Extension * Proficient with programming languages ...

WSP

Environmental Data Analytics Specialist

Redmond, WA

$66K - $77K/yr

... science field. * Experience with laboratory analytical data packages and electronic data reports * Experience using ESRI's ArcGIS Spatial Analyst Extension * Proficient with programming languages ...

City of Bothell

Engineering Technician

Bothell, WA · Hybrid

$79K - $101K/yr

... on spatial data. Participate in field data collection activities, including traffic studies and ... life sciences employment cluster near the I-405 corridor. Learn more about the City ...

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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 Aug 14, 2026, the average yearly pay for spatial data science in Seattle, WA is $147,618.00, 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $147,618 per year, or $71 per hour.

Civic Data Analyst (Sustainable Mobility)

Trilon

Seattle, WA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Alta Planning + Design seeks a Civic Data Analyst (Sustainable Mobility) for our Seattle office. This position is a great opportunity for someone who believes in the importance of active, multimodal, and sustainable transportation and who is interested in growing their career as a professional working at the intersection of civic data and sustainability. If you are looking to join an innovative organization and do work that connects people to places while advancing social justice, safety, and environmental resilience, apply with Alta today!
About Alta

Alta is a mission-driven company working to mitigate climate change and advance safety and social justice by shaping sustainable, people-centered communities. We bring together expertise across planning, design, engineering, education and encouragement programs, and community engagement to help communities thrive. Our work is grounded in the belief that how places are designed and experienced has a profound impact on equity, health, and opportunity-and that people should always be at the heart of those decisions.

Founded in 1996, Alta was at the forefront of the active transportation movement and has spent nearly 30 years partnering with communities to imagine a more connected, resilient, and inclusive future. Today, with more than 225 staff across the United States and beyond, we are a global leader in creating environments that support everyday life, strengthen human connection, and respond to the challenges of a changing world. Alta offers the opportunity to collaborate across disciplines, contribute to meaningful work at every scale, and be part of a team committed to making lasting, positive change for people and the places they call home.
Serve as a technical expert and analyst across various disciplines, project types, and regions. Develop prototypes of repeatable analysis in R, Python, and GIS to advance place-based sustainable transportation solutions. Over time, foster an entrepreneurial approach to analysis through staff training, research, tool development, and custom web applications.
Engage across Alta's disciplines to understand data analytics needs, priorities, and expectations, fostering a data-informed decision-making culture. Lead the development of new analytical products that align with the firm's objectives and the multidisciplinary nature of the practice. Collaborate closely with planners, designers, and engineers in tasks related to data analysis and visualization, ensuring the developed solutions bring valuable mobility insights and can scale organization wide.
Delve into data analysis and visualization components of client projects and R&D efforts, employing complex methodologies. Address mobility and access challenges through innovative analytical solutions, and articulate data-driven narratives effectively through reports, technical memos, and presentations. Be proactive in identifying labor-intensive processes and analysis, exploring avenues to streamline and automate them to create organization-wide value Work on a range of projects including active transportation plans, safety action plans, complete streets planning, safe routes to school, new mobility plans, and economic benefit studies. Each day, you will keep a community-focused perspective by pushing forward solutions that help communities inform narratives about people, address multifaceted community goals, prepare communities for change, and build a more just transportation system.
Required

This position requires a combination of skills, experience and education including, but not limited to
  • Bachelor's Degree in Statistics, Mathematics, Computer Science or another quantitative field with demonstrated experience in the transportation planning field, OR a Bachelor's Degree in Planning, Landscape Architecture, Environmental Sciences, or Engineering with some experience in the software development and/or data science fields.
  • Proficiency in Python and/or R, SQL
  • Proficiency in Quantitative Analysis: A solid background in data analysis, cross tabulation, and data interpretation is essential. Candidates should be able to apply data driven techniques to inform evidence-based decision-making in planning and design contexts.
  • Strong understanding of databases, GIS, coding, and familiarity with transportation planning at an advanced level.
  • GIS Proficiency - both open-source (PostGIS, QGIS, geopandas, etc.) and the ESRI suite (ArcGISPro, Spatial Analyst, Network Analyst, etc.).
  • Ability to create informative data visualizations through code (e.g. D3, ggplot, matplotlib, plotly, kepler.gl, etc.).
  • Experience designing, implementing, and documenting analytical solutions using code. Ability to execute an analysis entirely with code.
  • Data specifications & database acronyms like OSM, MDS, GTFS, GBFS, GPS, CDS don't scare you.
  • Proficient in MS Excel, Word, PowerPoint, similar products.
  • Strong written and verbal communication skills.
Preferred
There are a number of additional skills, experience, and education that would be beneficial to this position including, but not limited to:
  • Master's Degree in Urban Planning, Statistics, Data Science, Engineering, Math, or Social Sciences
  • 1+ years of experience in a consulting environment or public entity. You have experience working on responses to public sector requests for proposals.
  • AICP Certification.
  • Experience using Deltek VantagePoint.
  • Active participation in industry-relevant professional associations and committees.
  • Demonstrated work of applied statistics or machine learning techniques to transportation challenges.
  • Basic familiarity with deploying analytical solutions over the web with the use of Flask, Django, Fast-API, Tableau, PowerBI, ArcGIS Enterprise, or R-Shiny.
Flexible Schedule
Alta offers a flexible, hybrid work schedule where most employees work from home three days per week. In-office days support our collaborative culture, one of our core values.
Compensation
The pay range for this job in Seattle is $67,000-$85,000 annually. Placement within the range is based upon experience, skill-sets, and qualifications.
Benefits
Alta offers comprehensive benefits to all full-time employees:
  • Medical: PPO or HSA medical plans, Alta pays 75% of the cost
  • Dental/Vision: PPO, Alta pays 90% of the cost
  • Life Insurance: Alta pays 100% of the premium for life and AD&D, equal to your base compensation
  • 401(k): Alta provides a match up to 3%
  • PTO: 21 days accrued annually to start
  • Holidays: 11 total company paid holidays
  • Paid Parental Leave/Short-Term Disability 
  • Additional Benefits: Wellness reimbursement up to $800 annually, Alta Gets Around benefit of up to $900 annually, 5-year travel award, and professional development opportunities

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