Data engineers design, build, and maintain the systems and infrastructure that enable the efficient collection, storage, processing, and retrieval of large volumes of data. They create robust data pipelines and architectures that support business intelligence and analytics.
Their core responsibilities include implementing ETL (Extract, Transform, Load) workflows, managing relational and non-relational databases, working with big data tools, integrating data from multiple sources, and optimizing data systems for performance and scalability. They collaborate closely with data scientists, analysts, and software engineers to ensure high data quality and availability.