Data engineering is the discipline of designing, building, and maintaining systems that enable the collection, storage, and processing of large volumes of data. It forms the backbone of modern data-driven enterprises, ensuring that data is accessible, reliable, and ready for analysis or machine learning applications.

Data engineers focus on creating robust data pipelines and infrastructure to transform raw, unstructured data into usable formats. This involves tasks such as data ingestion, transformation, and storage, enabling organizations to derive actionable insights and make informed decisions.