Most In-Demand Data Engineering Skills
The most in-demand skills for Data Engineering roles right now are python, analytics, ai — ranked across 969 open postings.
Updated October 18, 2026
| # | Skill | Open postings | 30-day growth |
|---|---|---|---|
| 1 | python | 56 | +56 |
| 2 | analytics | 51 | +51 |
| 3 | ai | 50 | +50 |
| 4 | sql | 50 | +50 |
| 5 | cloud | 49 | +49 |
| 6 | data-engineering | 46 | +46 |
| 7 | ci-cd | 34 | +34 |
| 8 | data-pipelines | 32 | +32 |
| 9 | azure | 29 | +29 |
| 10 | data-quality | 27 | +27 |
| 11 | databricks | 27 | +27 |
| 12 | etl | 27 | +27 |
| 13 | snowflake | 26 | +26 |
| 14 | data-modeling | 23 | +23 |
| 15 | aws | 23 | +23 |
| 16 | data-governance | 23 | +23 |
| 17 | elt | 22 | +22 |
| 18 | dbt | 22 | +22 |
| 19 | machine-learning | 22 | +22 |
| 20 | gcp | 21 | +21 |
| 21 | infrastructure-as-code | 21 | +21 |
| 22 | airflow | 20 | +20 |
| 23 | data-warehousing | 19 | +19 |
| 24 | kubernetes | 18 | +18 |
| 25 | bigquery | 17 | +17 |
| 26 | git | 16 | +16 |
| 27 | data-science | 16 | +16 |
| 28 | agentic-ai | 16 | +16 |
| 29 | automation | 16 | +16 |
| 30 | terraform | 15 | +15 |
| 31 | observability | 15 | +15 |
| 32 | pyspark | 15 | +15 |
| 33 | devops | 14 | +14 |
| 34 | postgresql | 14 | +14 |
| 35 | github | 14 | +14 |
| 36 | dagster | 13 | +13 |
| 37 | spark | 13 | +13 |
| 38 | api | 13 | +13 |
| 39 | lakehouse | 12 | +12 |
| 40 | kafka | 12 | +12 |