Data Engineer portfolio projects for Austin

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

22 live listings right now.

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Career guide · portfolio

Live Data Engineer jobs in Austin

22 open listings match Data Engineer in Austin right now. The newest:

Skills employers ask for

Terms that keep coming up in the newest Data Engineer listings in Austin, and how many listings use each.
  1. ai8 posts
  2. platform8 posts
  3. cloud5 posts
  4. engineering6 posts
  5. infrastructure5 posts
  6. software6 posts
  7. engineers3 posts
  8. design4 posts
  9. building3 posts
  10. operations3 posts

Who's hiring

Employers with the most open Data Engineer listings in Austin.
  1. Databricks4 open jobs
  2. DigitalOcean2 open jobs
  3. Fluidstack2 open jobs
  4. ATOMS Careers page1 open job
  5. Allen Control Systems1 open job
  6. Avride1 open job
  7. Base Power1 open job
  8. Crowdstrike1 open job
  9. DevRev1 open job
  10. EXL1 open job

Advertised pay

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

$89,000 to $279,000 a year, median $217,500.

What portfolio proof should show first in Austin

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.

  • Projects
  • Case studies
  • Evidence
  • 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 Austin, 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

Pick two projects that show role fit, write the problem and result clearly, and link them from your resume and profile.
  1. Pick 10 active Data Engineer listings in Austin 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 Austin

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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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