Data Engineer LinkedIn profile for 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.

67 live listings right now.

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Career guide · LinkedIn

Live Data Engineer jobs in Chicago

67 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. center10 posts
  2. engineering17 posts
  3. center operations4 posts
  4. financial markets4 posts
  5. ai18 posts
  6. challenges7 posts
  7. platform17 posts
  8. architecture6 posts
  9. facilities4 posts
  10. intern4 posts
  11. program4 posts
  12. financial9 posts
  13. technology11 posts
  14. cloud7 posts
  15. associate5 posts
  16. physical4 posts
  17. infrastructure6 posts
  18. firm5 posts
  19. level5 posts
  20. director3 posts

Who's hiring

Employers with the most open Data Engineer listings in Chicago.
  1. Databricks9 open jobs
  2. Caterpillar Inc4 open jobs
  3. Huron4 open jobs
  4. IBM4 open jobs
  5. JPMorgan Chase4 open jobs
  6. NTRS4 open jobs
  7. Google3 open jobs
  8. IMC3 open jobs
  9. Oracle3 open jobs
  10. Tempus3 open jobs

What recruiters search 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.

  • Headline
  • Search terms
  • Proof
  • 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

Tune your headline, about section, skills, and featured proof so recruiters can find the profile before you apply.
  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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