Data Engineer Resume Keywords
These are the skills that recent data engineer job postings list most often. We counted them across 533 postings from 423 employers, posted between September 29, 2026 and November 12, 2026.
Top 20 skills in data engineer job postings
- 159% of postings49% as required
SQL
- 258% of postings45% as required
Python
- 328% of postings21% as required
Spark
- 425% of postings20% as required
Snowflake
- 524% of postings17% as required
Databricks
- 622% of postings17% as required
dbt
- 720% of postings16% as required
AWS
- 820% of postings17% as required
Data modeling
- 919% of postings15% as required
Airflow
- 1017% of postings13% as required
CI/CD
- 1111% of postings9% as required
Azure
- 1211% of postings9% as required
Data engineering
- 1310% of postings8% as required
GCP
- 1410% of postings8% as required
BigQuery
- 159% of postings8% as required
Git
- 169% of postings8% as required
Data governance
- 178% of postings6% as required
Kafka
- 188% of postings7% as required
Java
- 198% of postings6% as required
Terraform
- 207% of postings5% as required
Delta Lake
Source: public postings from employer career sites collected by LetMeApply. Skills are read from each posting with AI and merged across spellings (for example, AWS and Amazon Web Services). Each employer counts at most 3 times, so one company hiring in bulk does not skew the list.
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How to use this list
- Treat it as a map of the market, not a checklist. Tailor to the posting you are applying to.
- For each skill you really have, make sure it is written on your resume, in the posting's wording, where you used it.
- Leave out skills you do not have. Listing them can cost you in the interview.