Believe me, there's a lot of plumbing moving stuff from point A to B and dealing with poop ("dirty data" is the industry euphemism) in the data engineering and data analyst space.

In my more analytic moments I try to convince myself that data engineering and analysis is like chemical refining, creating useful byproducts out of raw liquids, but in my cynical moments, the plumbing metaphors for it are just so much more evocative.