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What C-level Data Engineering Jobs Ask For

Across 569 open C-level Data Engineering postings that list skills, the ones mentioned most often are data-engineering, ai, analytics.

Updated October 9, 2026

589 open C-level Data Engineering postings. The percentages below are measured over the 569 of them that list skills at all.

SkillMentioned in
data-engineering65%
ai62%
analytics62%
cloud52%
data-quality48%
sql47%
python44%
data-governance40%
data-pipelines36%
machine-learning32%
snowflake30%
databricks29%
ci-cd27%
automation27%
aws25%
observability24%
etl24%
spark22%
data-modeling22%
stakeholder-management19%
kafka18%
agile18%
azure18%
lakehouse18%
api17%
gcp16%
java16%
data-science15%
elt15%
airflow14%
cloud-native14%
data-ingestion14%
data-warehousing14%
dbt14%
metadata-management13%
kubernetes12%
terraform12%
llm12%
devops11%
infrastructure-as-code11%

"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 589 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 40,575
  • python 38,446
  • cloud 35,310
  • data-engineering 31,913
  • data-pipelines 29,567
  • analytics 29,292
  • etl 27,054
  • ai 24,164
  • azure 23,744
  • data-quality 22,271
  • aws 21,829
  • databricks 19,678

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