Data and AnalyticsUpdated Jun 2026
Data Engineer resume keywords
Builds reliable data pipelines, warehouses, transformations, and data platform foundations. Use this keyword guide to optimize your resume for ATS scanners and recruiter searches.
✓ Private browser-based — no upload required
Professionals building careers at
GoogleMicrosoftAmazonStripeFigma
Top skills
SQLETLPythonSparkAirflowdata warehouses
Location matters
Place keywords in your summary, skills section, and within experience context. ATS systems weight contextual usage higher than keyword lists.
ATS keywords
ETLELTAirflowSparkdbtSnowflakeBigQuery
Recruiter signals
- pipeline reliability
- data quality
- scale and latency improvements
Role details
Salary range: $110K–$175K
Domain: Data and Analytics
Boards: LinkedIn, Indeed, Data Engineering Jobs
Common mistakes
- Naming tools without pipeline scale, reliability, or data quality context.
- Using a generic summary that does not name the target role.
- Listing tools without showing where they were used.
- Adding metrics that are not supported by project, work, or portfolio evidence.
Related roles
Next step
Check if your resume includes these keywords
Use the free Credensa ATS scanner to see how your resume matches against Data Engineer role requirements. Private browser-only analysis.
Further reading