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senior data Salary in seattle

Based on 434 active job postings in seattle  ·  Updated 2026

Min Salary
$133,959
per year
Average Salary
$177,786
per year
Max Salary
$228,900
per year
Jobs Found
434
active listings

✨ AI Compensation Insight SALARY INSIGHTS

Generating real-time market insights and estimated salary range for senior data in seattle...

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Open senior data Jobs in seattle 434

Senior Data Scientist: Forecasting & Channel Growth
The Trade Desk Seattle, Washington
$228900 / per year Full Time
Senior Data Analyst: Insights, Dashboards & Strategy
Nordstrom, Inc. Seattle, Washington
$170500 / per year Full Time
Senior Data Center Due Diligence Consultant (Hybrid)
Ramboll Seattle, Washington
$133959 / per year Full Time
Senior Data & Procurement Analyst (Management Systems Analyst, Senior)
Seattle Department of Transportation Seattle, Washington
$116480 / per year Full Time
Senior Data Engineer, AWS Analytics Engineering
Amazon Web Services (AWS) Seattle, Washington
Full Time
Senior Data Analyst - Trust, Safety, and Fraud Analytics
Rover Seattle, Washington
Full Time
Senior Data Analyst: Fraud & Trust Safety Analytics
Rover Seattle, Washington
Full Time
Senior Data Scientist - GenAI Shopping Analytics & Strategy
Amazon Science Seattle, Washington
Full Time
Senior Data Scientist, Risk Data Mining - USDS
TikTok Seattle, Washington
Full Time
Senior Data Analytics Manager: Program Integrity & Fraud Prevention
DGS Office of External Affairs Seattle, Washington
Full Time
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senior data Salary FAQ

What is the average senior data salary in seattle?
Based on 3 recent job postings, the average annual salary for a senior data in seattle is approximately $177,786, with a range of $133,959 – $228,900.
How do I negotiate my senior data salary?
Research comparable roles in your area, document your accomplishments, and arrive at negotiations with data. Use total compensation (base + bonus + equity + benefits) as your benchmark, not just base pay.
What factors affect senior data compensation in seattle?
Key factors include years of experience, technical certifications, company size (startup vs. enterprise), industry (tech vs. finance vs. healthcare), and whether the role is remote-first or on-site in a high cost-of-living metro.