Is data engineering under rated?
I have been working on creating data pipelines both batch and near real time for most of my 10 year career. I really enjoy building solid production data pipelines at scale. It is an involved engineering effort whose details I don't want to list here for brevity. However, some view us as just 'plumbers' while the data science folks are the 'magicians'.
I've seen entire teams of data scientists(no engineering team members) getting restructured after realizing they've only been doing POCs and projecting ROI for years and nothing productionised.
Can someone who built data teams and hired both data engineers/scientists comment on the topic please.