Data Engineer jobs in Chicago

If you are applying for Data Engineer roles in Chicago, 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.

33 live listings right now.

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Live Data Engineer jobs in Chicago

33 open listings match Data Engineer in Chicago right now. The newest:

Skills employers ask for

Terms that keep coming up in the newest Data Engineer listings in Chicago, and how many listings use each.
  1. intern4 posts
  2. ai8 posts
  3. cloud4 posts
  4. engineering4 posts
  5. platform4 posts
  6. overview3 posts

Who's hiring

Employers with the most open Data Engineer listings in Chicago.
  1. AECOM6 open jobs
  2. CapTech Consulting4 open jobs
  3. Caterpillar Inc4 open jobs
  4. IBM4 open jobs
  5. Databricks3 open jobs
  6. Google3 open jobs
  7. 66degrees1 open job
  8. AArete1 open job
  9. BMO1 open job
  10. CME Group1 open job

What recruiters will check first in Chicago

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.

  • ATS fit
  • Market proof
  • Interview prep
  • 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 Chicago, 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

Group repeated skills, rewrite your resume for the market, and apply only after the job match is clear.
  1. Pick 10 active Data Engineer listings in Chicago 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 Chicago

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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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