Thank you to reply. Your definition of data engineer makes sense. From my experience, I would not call it a new role. People were doing similar things 25 years ago when building the first generation of "data warehouses". (Remember that term from the late 1990s!?)

I am surprised that you are using Python for data transformation. Isn't it too slow for huge data sets? (If you are using C/C++ libraries like Pandas/NumPy, then ignore this question.) When I have huge amounts of data, I always want to use something like C/C++/Rust/C#/Java do the heavy lifting because it is so much faster than Python.