Data has changed significantly over the last few decades. Computing systems that initially dealt with data and computation rapidly moved to information and communication. The next step on the evolutionary scale is insight and experience. Applications are demanding the use of live, spatio-temporal, heterogeneous data. Data engineering must keep pace by designing experiential environments that let users apply their senses to observe data and information about an event and to interact with aspects of the event that are of particular interest. I call this out-of-the-box data engineering because it means we must think beyond many of our timeworn perspectives and technical approaches.