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What C-level Data Engineering Jobs Ask For

Across 164 open C-level Data Engineering postings that list skills, the ones mentioned most often are analytics, ai, data-quality.

Updated October 28, 2026

165 open C-level Data Engineering postings. The percentages below are measured over the 164 of them that list skills at all.

SkillMentioned in
analytics78%
ai66%
data-quality53%
data-governance48%
data-engineering46%
machine-learning43%
cloud42%
sql38%
databricks34%
automation30%
data-pipelines29%
python29%
stakeholder-management28%
ci-cd25%
data-modeling25%
snowflake25%
aws20%
spark20%
data-science20%
observability20%
dbt18%
lakehouse17%
kafka16%
airflow15%
metadata-management15%
api14%
etl14%
azure13%
agile13%
cloud-native12%
elt12%
gcp12%
gdpr12%
data-ingestion11%
llm11%
ai-enablement10%
data-lineage10%
infrastructure-as-code10%
java10%
data-lake10%

"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 165 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 6,613
  • python 6,359
  • cloud 5,938
  • data-engineering 5,477
  • analytics 5,027
  • ai 4,969
  • data-pipelines 4,358
  • data-quality 3,986
  • etl 3,910
  • aws 3,820
  • ci-cd 3,572
  • azure 3,568