Data Engineer Jobs in Seattle

19 positions available in Seattle. Aerospace, maritime, logistics, healthcare, and a major tech sector

Explore employers on the map — Seattle

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Explore employers on the map — Seattle

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What Does a Data Engineer Do?

Data engineers build and maintain the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They ensure data quality, security, and accessibility for analytics and machine learning teams.

Data Engineer Salary in Seattle

The median salary for a Data Engineer in Seattle is $145,452 per year. The range is $110K - $190K (P10: $84,282, P90: $237,856). (BLS OEWS 2025) Typical US salary range: $95K - $160K. In Europe: €65K - €105K. Cost of living in Seattle is very high compared to other cities.

Most In-Demand Skills

Apache Spark/Hadoop SQL Python Cloud Platforms (AWS/GCP/Azure) ETL/ELT Data Modeling

The Seattle Job Market

Aerospace, maritime, logistics, healthcare, and a major tech sector. Aerospace, ports, and healthcare anchor a market with a major tech sector layered on top.

Top industries: Aerospace, Maritime & Logistics, Healthcare, Technology.

Sound Transit rail expanding; tech industry pioneered remote work, making commutes optional for many.

Career Path & 2026 Trends

Data engineers progress to senior data engineer or principal engineer roles, with some transitioning to data platform architecture or management. Data engineering is experiencing rapid growth in 2026 as organizations prioritize real-time data and AI/ML infrastructure investments.

Interview Tip

Prepare specific examples of data pipelines you've built, focusing on how you handled scale, reliability, and data quality challenges.

How to Find a Data Engineer Job in Seattle?

iampro.io aggregates listings from 40+ sources (Indeed, LinkedIn, and more) and uses AI to analyze each posting against your profile. With 19 current Data Engineer listings in Seattle, you get honest match scores, red flag detection, and personalized CV advice — all for free.

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