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How to Hire a Data Engineer in Seattle (2026)

July 27, 2026

How to Hire a Data Engineer in Seattle (2026)

Hiring a data engineer in Seattle? Across 69 live data engineer postings in Seattle, the market pays a $200K median salary (typically $160K–$223K). Recruiting from Scratch is the contingency technical recruiting firm for these hires — a 29-day average time to hire, 300+ placements, and a 2M+ candidate network.

What a data engineer does

A data engineer builds and maintains the data pipelines, warehouses, and infrastructure the business runs on. Hiring one in Seattle means competing with the companies below.

What the role requires (from 69 live Seattle postings)

What employers actually screen for, aggregated across 69 active data engineer postings in Seattle:

  • Experience: typically 5+ years of experience.
  • Languages: Python, Java, Scala, TypeScript, Kotlin.
  • Frameworks: React, Spring, Fiber, Angular, Fastapi.
  • Most-requested skills: Python, SQL, AWS, Java, Scala, Airflow, data pipelines, Redshift.
  • Pay: a $200K median salary (typically $160K–$223K), base — equity typically on top.

What data engineers cost in Seattle

PercentileBase salary
25th$160K
Median$200K
75th$223K

Based on 41 data engineer postings in Seattle that disclose pay. Base only — equity is typically on top.

Seattle pays about 18% above the US median for this role ($170K).

What we're seeing in the market right now

  • Equity: 51% of data engineer postings in Seattle mention equity alongside base pay.
  • Concentration: the ten companies below account for 52% of open data engineer roles in Seattle — you are mostly competing with them.

Companies hiring data engineers in Seattle

The companies with the most live data engineer openings in Seattle, with what each pays and screens for (medians shown only where at least 3 postings disclose pay):

CompanyOpen data engineer rolesMedian pay (disclosed)Top skills
Amazon9$132KAWS, SQL, Redshift
Microsoft5
Apple4Data Pipelines, Python, Java
CoreWeave3$212KPython, Java, Scala
Okta3$223KPython, Go, AWS
SpaceX3$193KPython, Angular, Django
Instagram3
The Trade Desk2Python, Java, Scala
Anthropic2Python, Dbt, SQL
Mactores2AWS

Who's hiring, by company stage

Where the data engineer demand sits across funding stages, across the 41 companies with the most live openings in Seattle:

StageCompanies hiringOpen rolesMedian pay (disclosed)Examples
Series A11Monks
Series B57Instagram, Auger, Otter
Series C11Nscale
Series D+1014$224KSpaceX, Anthropic, Otter.ai
Public1435$189KAmazon, Microsoft, Apple

A further 10 of those companies have no funding stage on file and are not shown above.

How to run this search well

  • Ask about a pipeline that broke and how they made it not break again — reliability instincts are the core skill.
  • Screen SQL depth genuinely. It remains the highest-signal, most-skipped filter in data hiring.
  • Name your warehouse and orchestration stack up front — data engineers filter on it immediately.

How Recruiting from Scratch hires data engineers

Recruiting from Scratch is a contingency technical recruiting firm — no retainer and no upfront cost, so you pay only when you make a hire. The process: align on the role and must-haves → a curated shortlist of 3–5 genuinely qualified data engineers (not resume volume) → a 29-day average time to hire versus the 49-day industry average → a 90-day replacement guarantee. Backed by 300+ placements, a 2M+ candidate network, and named hires at companies like Decagon and Mercor.

FAQ

What does a data engineer do?

A data engineer builds and maintains the data pipelines, warehouses, and infrastructure the business runs on.

What salary does a data engineer in Seattle command in 2026?

Across 69 live postings in Seattle, a $200K median salary (typically $160K–$223K) — base only; equity is typically on top. Most postings expect 5+ years of experience.

What should you look for when hiring a data engineer?

Depth in the skills these postings require (Python, SQL, AWS, Java, Scala, Airflow, data pipelines, Redshift), plus pipeline and warehouse experience, strong SQL, and distributed-data fluency. Recruiting from Scratch sends a shortlist of 3–5 genuinely qualified candidates, not resume volume.

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