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Data Engineer Skills

Data Engineering is the most in-demand skill for Data Engineer roles, asked for in 88% of 136 live Data Engineer listings. The most-requested skills are Data Engineering, Python, SQL, Machine Learning, and Airflow.

Ranked by live-role demand across active Data Engineer listings. Updated 1 day ago.

Most-requested skills

SkillShare of rolesListings
Data Engineering88%120
Python79%107
SQL62%84
Machine Learning46%62
Airflow40%55
Spark38%51
Snowflake36%49
dbt35%47
AWS34%46
Data Science30%41
Kafka24%33
Azure21%28
GCP20%27
BigQuery19%26
Agentic AI19%26
Java18%25
LLMs18%24
Kubernetes18%24
CI/CD17%23
Databricks17%23
Distributed Systems16%22
Docker13%17
PostgreSQL11%15
Terraform10%13
Scala10%13
Generative AI7%10
Go6%8
GPU5%7
Tableau5%7
pandas5%7
Rust4%6
PyTorch4%5
Autonomous Vehicles4%5
Multimodal4%5
Deep Learning4%5
C++4%5
Robotics4%5
MongoDB4%5
MLOps3%4
NumPy3%4
Power BI3%4
Prompt Engineering3%4
Redis3%4
Foundation Models3%4
TypeScript3%4
RAG2%3
Vector Databases2%3
Computer Vision2%3

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About this data

What skills do Data Engineer roles need?
Data Engineering is the most in-demand skill for Data Engineer roles, asked for in 88% of 136 live Data Engineer listings. The most-requested skills are Data Engineering, Python, SQL, Machine Learning, and Airflow.
How is demand measured?
We scan the title and description of every active Data Engineer listing for a curated vocabulary of skills, then rank each by the number of distinct live roles that mention it. Share is that count divided by all active Data Engineer roles.
How current is it?
It reflects live listings and updates as new roles are posted and old ones close.