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What Middle Data Engineering Jobs Ask For

Across 661 open Middle Data Engineering postings that list skills, the ones mentioned most often are sql, python, data-pipelines.

Updated September 19, 2026

697 open Middle Data Engineering postings. The percentages below are measured over the 661 of them that list skills at all.

SkillMentioned in
sql73%
python69%
data-pipelines58%
cloud55%
data-engineering53%
etl51%
analytics47%
ai42%
data-quality41%
databricks38%
ci-cd38%
azure36%
spark36%
elt36%
aws35%
machine-learning30%
api30%
data-warehousing29%
git28%
pyspark27%
data-modeling27%
airflow27%
gcp26%
automation26%
agile23%
devops20%
snowflake20%
powerbi18%
lakehouse17%
dbt16%
delta-lake16%
bigquery14%
data-science14%
data-governance14%
terraform13%
kafka13%
version-control13%
infrastructure-as-code12%
data-ingestion12%
azure-data-factory11%

"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 697 open Middle Data Engineering jobs →

Across all Data Engineering levels

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

  • sql 44,838
  • python 43,571
  • cloud 39,474
  • data-engineering 35,421
  • data-pipelines 32,712
  • analytics 32,310
  • etl 30,540
  • azure 27,001
  • ai 26,680
  • aws 24,732
  • data-quality 24,278
  • ci-cd 21,138

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