Data Engineering Resume Keywords & ATS Expectations
This isn't an article — it's the live data our resume scanner uses to analyze data engineering resumes. When the engine improves, this page updates with it.
Core skills per the U.S. Department of Labor
Source: O*NET 15-1243.00 — Database Architects (onetonline.org, public domain)
Keywords ATS systems expect on data engineering resumes
Job titles recruiters recognize in this field
Certifications that anchor a data engineering resume
What screeners check first in data engineering
A GitHub link is expected in this field.
Common questions
What keywords do ATS systems look for on data engineering resumes?
The highest-weight terms in our data engineering detection engine include etl, elt, pipeline, data pipeline, data warehouse, data lake, data lakehouse, data platform. These come from the live tables our scanner runs on every data engineering resume — use the exact recognized form of each term you can honestly claim, once, attached to real experience.
Which certifications matter most on a data engineering resume?
Our scanner anchors data engineering resumes on certifications like DATABRICKS CERTIFIED, SNOWFLAKE CORE, AWS DATA, GCP DATA ENGINEER, AZURE DATA ENGINEER, DBT CERTIFIED. List the ones you hold with their exact recognized abbreviation — recruiters and ATS searches both match on the standard form.
What do screeners check first on data engineering resumes?
A GitHub link is expected in this field.
How do I check my data engineering resume against this data?
Run the free scan — it checks your actual document against these exact keyword tables, plus parsing, structure, and red flags, and returns a full diagnostic report in about 20 seconds. No signup; your resume is never stored.
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Methodology: keyword and title lists come directly from the detection tables our scanner runs on every data engineering resume, validated by a pinned regression suite. O*NET data is public domain from the U.S. Department of Labor. See our methodology.