Data Engineer salary 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.

44 live listings right now.

Check your resume freeBrowse jobs

Free, no signup.

Career guide · salary

Live Data Engineer jobs in Chicago

44 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. center6 posts
  2. program4 posts
  3. ai12 posts
  4. intern4 posts
  5. physical4 posts
  6. engineering9 posts
  7. associate5 posts
  8. cloud7 posts
  9. analytics5 posts
  10. level5 posts
  11. platform8 posts
  12. leader4 posts
  13. technology6 posts
  14. operations5 posts
  15. critical3 posts
  16. manager3 posts
  17. overview3 posts

Who's hiring

Employers with the most open Data Engineer listings in Chicago.
  1. Caterpillar Inc4 open jobs
  2. Huron4 open jobs
  3. IBM4 open jobs
  4. JPMorgan Chase4 open jobs
  5. NTRS4 open jobs
  6. Databricks3 open jobs
  7. Google3 open jobs
  8. Oracle3 open jobs
  9. Colovore2 open jobs
  10. JLL2 open jobs

What affects pay 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.

  • Pay range
  • Offer proof
  • Negotiation
  • 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

Compare salary bands, map your proof to the seniority level, and prepare a realistic ask before recruiter calls.
  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

Related guides

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.
Check your resume free

Free, no signup.