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What C-level Data Engineering Jobs Ask For

Across 656 open C-level Data Engineering postings that list skills, the ones mentioned most often are data-engineering, ai, analytics.

Updated September 19, 2026

760 open C-level Data Engineering postings. The percentages below are measured over the 656 of them that list skills at all.

SkillMentioned in
data-engineering63%
ai61%
analytics59%
cloud49%
data-quality48%
sql43%
python40%
data-governance39%
data-pipelines35%
machine-learning31%
snowflake28%
databricks26%
automation26%
ci-cd25%
aws24%
data-modeling23%
etl22%
spark21%
azure20%
observability18%
api18%
agile18%
stakeholder-management17%
kafka16%
lakehouse16%
data-science16%
java15%
data-warehousing15%
gcp15%
dbt14%
elt14%
airflow14%
cloud-native13%
kubernetes12%
terraform12%
llm11%
data-ingestion11%
metadata-management10%
devops10%
data-lineage10%

"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 760 open C-level Data Engineering jobs →

Across all Data Engineering levels

Most Data Engineering postings never state a level. This wider list covers them too.

  • sql 44,839
  • python 43,571
  • cloud 39,467
  • data-engineering 35,398
  • data-pipelines 32,707
  • analytics 32,318
  • etl 30,540
  • azure 26,991
  • ai 26,672
  • aws 24,714
  • data-quality 24,270
  • ci-cd 21,143

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