AI Analytics Engineer.
Seattle.
$174,000
median salary, 23% above the national average
$133,000 to $227,000. Last updated April 2026.
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Data points to own the conversation.
Seattle is 24% more expensive than the national average. For AI Analytics Engineers, that shakes out to a median of $174,000, with the full range spanning $133,000 to $227,000. AI analytics engineers who build data models and dashboards for ML performance monitoring earn salaries driven by business impact and technical depth. Know the range before you walk in.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $157,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$113,000
to $139,000
Mid (3-5 yrs)
$148,000
to $183,000
Senior (6-9 yrs)
$191,000
to $226,000
Lead (10+ yrs)
$218,000
to $270,000
Salary trend
+6% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $85,000 to the total package.
Base
$174,000
Equity
$52,000
Bonus
$23,000
Signing
$10,000
Estimated total: $259,000
How Seattle compares
Seattle, WA
$174,000
Cost of living: 24% above average
National Average
$142,000
Seattle is $32,000 above
AI Analytics Engineer salary by city
Salary by role in Seattle
What you should know
Here is what the AI Analytics Engineer market actually looks like in Seattle. Seattle is home to Amazon, Microsoft, and a dense cluster of cloud computing, gaming, and AI companies. The presence of major tech headquarters drives some of the highest engineering salaries outside the Bay Area. Seattle's job market is particularly strong for cloud infrastructure, machine learning, and enterprise software roles. AI analytics engineers who build data models and dashboards for ML performance monitoring earn salaries driven by business impact and technical depth. Experience with experiment tracking, model monitoring, and A/B testing frameworks adds 10 to 15% to compensation. Companies in fintech and healthcare pay above-market rates for this role.
Junior AI analytics engineers start at $108,000 to $125,000. Mid-level engineers with 3 to 5 years reach $142,000 to $185,000. Senior analytics engineers earn $190,000 to $240,000, while analytics engineering managers and directors of ML analytics can command $250,000 to $320,000. In Seattle, those numbers run higher. The cost of living here is 24% above average, and employers adjust to compete.
Base salary is not the full picture. Equity grants typically represent 10 to 20% of base salary at growth-stage companies. Annual bonuses range from 8 to 15%. Some firms offer profit-sharing arrangements, and remote work flexibility is common, though Bay Area-based roles pay 20 to 30% more. And on the tax side: washington State has no personal income tax, which significantly boosts take home pay. However, state and local sales taxes are among the highest in the country at roughly 10.25%. When someone quotes you $174,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Remind employers that no state income tax makes your effective compensation higher. You can accept a slightly lower gross salary and still take home more than in California. The range for AI Analytics Engineers in Seattle runs from $133,000 to $227,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A AI Marketing Technologist in Seattle earns $175,000 (1% more)
- The highest-paying role in Seattle is Chief AI Officer at $377,000
Common questions.
AI Analytics Engineer salary in other cities
Other salaries in Seattle
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