Data Engineer career switch after layoff in Seattle

If you are applying for Data Engineer roles in Seattle, the hard part is not finding one listing. The hard part is making each application look specific enough to pass the recruiter screen and the ATS scan.

24 live listings right now.

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Career guide · career switch

Live Data Engineer jobs in Seattle

24 open listings match Data Engineer in Seattle right now. The newest:

Skills employers ask for

Terms that keep coming up in the newest Data Engineer listings in Seattle, and how many listings use each.
  1. software11 posts
  2. ai9 posts
  3. database3 posts
  4. platform10 posts
  5. staff software3 posts
  6. largest3 posts
  7. technology5 posts
  8. engineering3 posts
  9. infrastructure3 posts

Who's hiring

Employers with the most open Data Engineer listings in Seattle.
  1. Airwallex5 open jobs
  2. Anduril Industries3 open jobs
  3. Google3 open jobs
  4. BREX2 open jobs
  5. Openai2 open jobs
  6. Ramboll2 open jobs
  7. Advanced Systems Group1 open job
  8. Arista Networks1 open job
  9. Databricks1 open job
  10. Ffive1 open job

Advertised pay

From listings that state pay. Many don't, so treat it as a range, not a promise.

$100,000 to $445,000 a year, median $210,000.

What to rebuild after a layoff in Seattle

Recruiters scan for role fit, recent proof, and keywords. For Data Engineer, your resume should show the tools you used, the data you worked with, the question or pipeline you owned, and the result. A vague analysis line does not help. A specific line with data volume, accuracy, time saved, revenue, cost, or decisions it changed works much better.

Check this before sending another application.

  • Transferable skills
  • Proof rebuild
  • Applications
  • Put the exact job title and adjacent titles in your summary.
  • Mirror the top skills from the job description naturally.
  • Use 3 to 5 achievement bullets that show measurable outcomes.
  • Keep formatting simple so ATS software can parse every section.

Resume keywords for Data Engineer

Do not stuff keywords. Put them where they belong: skills, project bullets, work experience, and certifications. For Data Engineer jobs in Seattle, start with these clusters.

Core skills

SQL, Python, BI tools, statistics, data modeling, pipelines, and data quality checks

Business impact

cost, revenue, time saved, accuracy, forecast error, or decisions changed

Collaboration

stakeholders, product, engineering, finance, operations, or leadership

Proof

dashboards, notebooks, models, pipelines, analysis write-ups, or labeling accuracy

A practical application plan

Reframe your recent experience, rebuild visible proof, and apply to adjacent roles where your old domain still helps.
  1. Pick 10 active Data Engineer listings in Seattle and save the job descriptions.
  2. Group repeated skills and phrases. Those are your ATS keywords.
  3. Rewrite your resume summary for this exact market and role.
  4. Run the resume and JD through the JobRise ATS checker.
  5. Only apply after your resume clearly matches the must-have requirements.

More Data Engineer guides for Seattle

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Before you apply

Paste the job description into JobRise, check the ATS score, then fix the missing keywords before you send the application. One focused application beats ten generic ones.
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