While a data engineer’s primary activity is to produce and defend the infrastructure required to store, process, and retrieve information, in which they design and implement pipelines to ensure reliability and availability, a data scientist, on the other hand, looks at and explores information to extract meaningful insights from it. They use statistical methods, machine learning, python, and visualization techniques to solve sophisticated business problems, drawing on a diverse set of skills to deliver impactful insights. While data engineers provide the foundation, it is on this foundation that the data scientist brings actionable insights.