At FANG companies, as an example, the scale is so great that they don't differentiate types of Software Engineers as everyone has to deal with massive scale. Bu

At FANG companies, as an example, the scale is so great that they don't differentiate types of Software Engineers as everyone has to deal with massive scale. But at most companies in the industry architecting and scaling requirements are very modest even on the backend so they simply do not hit the scaling cliffs that Data Engineers are specialized in solving. Subsequently, Engineers working there do not gain the experience or knowledge to deal with that scale. Additionally, it's not that "data" is different, it's entirely conditional on the nature of the data in question and what a company needs to do with it. Edit: Added clarification.