> Feature engineering is a mechanism of creating new levels of abstraction in knowledge representation because each (non-trivial) feature extract and makes explicit some piece of knowledge hidden in the data. It is almost precisely what deep learning is intended for. In this sense, feature engineering does what hidden layers of a neural network do or what the convolutional layer of a neural network does

Very intriguing and thoughtful statement. I hadn't ever thought of it that way.