Data Pipeline Engineer (ML).

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If you are interviewing for Data Pipeline Engineer (ML) roles in Seattle, here is what you are walking into. 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. 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 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. 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 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 $196,000, 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 Data Pipeline Engineer (ML)s in Seattle runs from $149,000 to $258,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Negotiating in Seattle

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.

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