Data Engineering is the process of designing and building systems that collect, store, and analyze data. It involves creating data pipelines that move data from various sources, such as databases and APIs, to a centralized location where it can be processed and analyzed. This ensures that data is accessible and usable for decision-making. Data engineers work with tools and technologies like SQL, Python, and Apache Spark to manage large datasets. Their role is crucial in enabling organizations to harness the power of data, allowing data scientists and analysts to derive insights and make informed decisions based on accurate information.