Data Engineer fresher jobs 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.

246 live listings right now.

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Career guide · fresher jobs

Live Data Engineer jobs in San Francisco

246 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. software54 posts
  2. researchers15 posts
  3. platform54 posts
  4. group19 posts
  5. reliable20 posts
  6. engineering36 posts
  7. close12 posts
  8. infrastructure27 posts
  9. staff24 posts
  10. staff software13 posts
  11. https16 posts
  12. engineers20 posts
  13. collaboration11 posts
  14. www10 posts
  15. agents16 posts
  16. millions16 posts
  17. come10 posts
  18. intelligence18 posts
  19. building29 posts
  20. models14 posts

Who's hiring

Employers with the most open Data Engineer listings in San Francisco.
  1. Databricks41 open jobs
  2. Openai18 open jobs
  3. Anthropic12 open jobs
  4. Rox Data Corp11 open jobs
  5. IBM10 open jobs
  6. Mercor7 open jobs
  7. Pinterest6 open jobs
  8. DoorDash USA5 open jobs
  9. Google5 open jobs
  10. Reflectionai5 open jobs

Advertised pay

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

$100,000 to $536,000 a year, median $249,225.

What first-job applications need first 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.

  • Entry level
  • First proof
  • Fast applies
  • 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

Turn coursework, projects, and internships into proof lines, target entry-level listings directly, and apply in small focused batches.
  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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