Data Pipeline Engineer (ML).
Spokane.
$151,000
median salary, 4% below the national average
$115,000 to $199,000. Last updated April 2026.
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Data points to own the conversation.
Data Pipeline Engineer (ML) pay in Spokane ranges from $115,000 to $199,000 in 2026. The median is $151,000, 4% below the national average. Spokane is eastern Washington's largest city with a healthcare-driven economy and growing remote work population. Every dollar in that range is negotiable if you come prepared.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $136,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$98,000
to $121,000
Mid (3-5 yrs)
$128,000
to $159,000
Senior (6-9 yrs)
$166,000
to $196,000
Lead (10+ yrs)
$189,000
to $234,000
Salary trend
+4% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $40,000 to the total package.
Base
$151,000
Equity
$23,000
Bonus
$14,000
Signing
$3,000
Estimated total: $191,000
How Spokane compares
Spokane, WA
$151,000
Cost of living: 8% below average
National Average
$158,000
Spokane is $7,000 below
Data Pipeline Engineer (ML) salary by city
Salary by role in Spokane
What you should know
If you are interviewing for Data Pipeline Engineer (ML) roles in Spokane, here is what you are walking into. Spokane is eastern Washington's largest city with a healthcare-driven economy and growing remote work population. The city offers Washington's no income tax benefit at significantly lower cost of living than Seattle. Healthcare systems are the largest employers, with tech growing through remote work migration. ML data pipeline engineers earn salaries based on the scale and complexity of data systems they build and maintain. Engineers handling petabyte-scale training data pipelines for large model training earn 15 to 25% more than those working with smaller datasets. Experience with both batch and streaming architectures is a consistent salary booster across employers.
Junior ML pipeline engineers start at $120,000 to $142,000. Mid-level engineers managing production ML data flows earn $158,000 to $208,000. Senior engineers and infrastructure leads reach $215,000 to $280,000, while staff engineers designing organization-wide ML data platforms can command $290,000 to $370,000. In Spokane, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. Tech companies offer equity grants of 15 to 25% of base salary with standard four-year vesting schedules. Annual performance bonuses range from 10 to 18%. On-call compensation for production pipeline maintenance adds $8,000 to $18,000 annually at some organizations. And on the tax side: washington has no state income tax. Spokane has no city income tax. The zero tax environment at a fraction of Seattle's cost of living creates one of the best purchasing power ratios in the Pacific Northwest. When someone quotes you $151,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Negotiate Seattle-area remote salaries while living in Spokane. Many Washington employers offer location-agnostic pay, and the zero income tax plus low housing costs create exceptional value. The range for Data Pipeline Engineer (ML)s in Spokane runs from $115,000 to $199,000. 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 Product Manager in Spokane earns $152,000 (1% more)
- The highest-paying role in Spokane is Distinguished Engineer at $294,000
Common questions.
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