Data Engineer career switch after layoff in San Francisco

If you are applying for Data Engineer roles in San Francisco, 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.

145 live listings right now.

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Career guide · career switch

Live Data Engineer jobs in San Francisco

145 open listings match Data Engineer in San Francisco right now. The newest:

Skills employers ask for

Terms that keep coming up in the newest Data Engineer listings in San Francisco, and how many listings use each.
  1. software60 posts
  2. platform51 posts
  3. engineering37 posts
  4. infrastructure34 posts
  5. reliable17 posts
  6. train9 posts
  7. close12 posts
  8. group17 posts
  9. millions19 posts
  10. models15 posts
  11. systems30 posts
  12. staff software12 posts
  13. economy12 posts
  14. analytics16 posts
  15. staff19 posts
  16. center9 posts
  17. research17 posts
  18. bring12 posts
  19. power17 posts
  20. frontier10 posts

Who's hiring

Employers with the most open Data Engineer listings in San Francisco.
  1. Openai18 open jobs
  2. Databricks13 open jobs
  3. Anthropic12 open jobs
  4. IBM10 open jobs
  5. Mercor7 open jobs
  6. Pinterest6 open jobs
  7. DoorDash USA5 open jobs
  8. Google5 open jobs
  9. Figma4 open jobs
  10. Amplitude3 open jobs

Advertised pay

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

$111,000 to $536,000 a year, median $265,000.

What to rebuild after a layoff in San Francisco

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 San Francisco, 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 San Francisco 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 San Francisco

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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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