What Principal Data Engineering Jobs Ask For
Across 16 open Principal Data Engineering postings that list skills, the ones mentioned most often are ai, cloud, data-engineering.
Updated October 27, 2026
16 open Principal Data Engineering postings. The percentages below are measured over the 16 of them that list skills at all.
| Skill | Mentioned in |
|---|---|
| ai | 100% |
| cloud | 75% |
| data-engineering | 75% |
| analytics | 63% |
| data-pipelines | 63% |
| lakehouse | 63% |
| data-governance | 56% |
| data-modeling | 56% |
| python | 56% |
| snowflake | 56% |
| sql | 56% |
| aws | 50% |
| azure | 50% |
| ci-cd | 50% |
| dbt | 50% |
| kafka | 50% |
| observability | 50% |
| automation | 44% |
| databricks | 44% |
| data-quality | 44% |
| data-warehousing | 44% |
| machine-learning | 44% |
| devops | 38% |
| cloud-native | 31% |
| data-ingestion | 31% |
| etl | 31% |
| github | 31% |
| github-actions | 31% |
| spark | 31% |
"Mentioned in" counts postings that name the skill anywhere — including as a nice-to-have — so treat it as the ceiling, not the bar.
Browse 16 open Principal Data Engineering jobs →
Across all Data Engineering levels
Most Data Engineering postings never state a level. This wider list covers them too.
- python 417
- ai 406
- sql 391
- data-engineering 353
- cloud 337
- analytics 318
- data-pipelines 314
- data-quality 278
- etl 221
- airflow 212
- aws 208
- spark 202