I often find data scientist (from python persuasion) come into engineering organizations with this mindset and undo alot of progress. They end up realizing that

I often find data scientist (from python persuasion) come into engineering organizations with this mindset and undo alot of progress. They end up realizing that engineering really does have value and isn't just engineering for engineering's sake and end up layering on a thousand hacks that replicate what was already there. Simplicity for simplicities sake is just as dangerous as complexity for complexities sake. There is a reason major enterprise organizations (LinkedIn, Facebook, etc) have java backends. Also it's not a matter of misappropriation. Some of what they do does apply outside the enterprise. You see a ton of python libraries make this mistake, like dask by saying "it's just pandas that runs on multiple machines". "It's just" is usually a sign that there is some complexity they are ignoring or don't have (that most others will)