Data engineering is the backbone of data-driven decision-making. Data engineers design, build, and maintain the infrastructure that enables data collection, storage, and processing. They ensure data is clean, accessible, and ready for analysis by data scientists and analysts. This field demands expertise in database management, ETL (Extract, Transform, Load) processes, and big data technologies. Data engineers play a critical role in turning raw data into actionable insights, making them essential in today's data-centric landscape.