ATS keywords
Data Engineer resume keywords
These are the top 15 ATS-relevant keywords every Data Engineer resume should include in 2026. Copy them into your resume, then let ApplyX tailor it to any job description.
Keywords by priority
Priority is based on frequency in real Data Engineer job descriptions. Use critical keywords in your summary and top experience bullets.
1sql
Critical2python
Critical3spark
Critical4airflow
Critical5etl
Critical6data warehousing
Important7snowflake
Important8redshift
Important9kafka
Important10dbt
Useful11data modeling
Useful12cloud
Useful13data quality
Useful14batch processing
Useful15streaming
UsefulHow to use these keywords
Summary section: Include 3-4 critical keywords naturally. Example: “Experienced Data Engineer with expertise in sql, python, spark.”
Skills block: List all relevant keywords in a comma-separated skills section. ATS systems scan this first.
Experience bullets: Pair keywords with measurable impact. “Implemented sql resulting in 25% improvement in delivery time.”
Projects section: Name the tools and technologies you used. Every keyword in context adds ATS weight.
Next step
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