Skills
Data Engineer Skills
Data Engineering is the most in-demand skill for Data Engineer roles, asked for in 88% of 193 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 2 days ago.
Most-requested skills
| Skill | Share of roles | Listings |
|---|---|---|
| Data Engineering | 88% | 170 |
| Python | 75% | 144 |
| SQL | 63% | 121 |
| Machine Learning | 48% | 92 |
| Airflow | 38% | 74 |
| Spark | 36% | 70 |
| AWS | 35% | 68 |
| Snowflake | 34% | 66 |
| dbt | 32% | 62 |
| Data Science | 25% | 48 |
| Agentic AI | 24% | 46 |
| GCP | 23% | 44 |
| Azure | 23% | 44 |
| Kafka | 21% | 40 |
| BigQuery | 20% | 38 |
| Databricks | 19% | 36 |
| Kubernetes | 19% | 36 |
| CI/CD | 17% | 33 |
| LLMs | 17% | 33 |
| Distributed Systems | 16% | 31 |
| Java | 14% | 27 |
| Terraform | 11% | 22 |
| PostgreSQL | 11% | 22 |
| Docker | 10% | 20 |
| Generative AI | 9% | 17 |
| Scala | 8% | 15 |
| Tableau | 6% | 12 |
| Robotics | 5% | 9 |
| MongoDB | 5% | 9 |
| Power BI | 5% | 9 |
| Go | 4% | 8 |
| Multimodal | 4% | 8 |
| TypeScript | 4% | 7 |
| GPU | 4% | 7 |
| pandas | 4% | 7 |
| MLOps | 4% | 7 |
| RAG | 3% | 6 |
| Autonomous Vehicles | 3% | 6 |
| C++ | 3% | 6 |
| Embeddings | 3% | 6 |
| Foundation Models | 3% | 6 |
| PyTorch | 3% | 6 |
| Rust | 3% | 5 |
| Deep Learning | 3% | 5 |
| Redis | 2% | 4 |
| Prompt Engineering | 2% | 4 |
| JavaScript | 2% | 3 |
| Flask | 2% | 3 |
| NumPy | 2% | 3 |
| Elasticsearch | 2% | 3 |
| Django | 2% | 3 |
| C# | 2% | 3 |
| Time Series | 2% | 3 |
| Computer Vision | 2% | 3 |
| Vector Databases | 2% | 3 |
| Fine-tuning | 2% | 3 |
| Vertex AI | 2% | 3 |
| Node.js | 2% | 3 |
| React | 2% | 3 |
Go deeper
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 193 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.