Some popular books for learning about data engineering include:

"Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing" by Tyler Akidau, Slava Chernyak, and Reuven Lax

"Data Engineering: A Practical Guide to Storing, Processing, and Analyzing Big Data" by Tanmay Deshpande

"Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems" by Martin Kleppmann

"Data Pipelines: Multi-Step Data Processing" by Katharine Jarmul and Richard Gall

"Data Engineering: An Introduction" by Michael Stonebraker, Andrew Pavlo, and Ekaterina Potapova

These books cover a variety of topics related to data engineering, including data pipeline design, big data processing and storage, and data infrastructure management.