It seems like almost every data-heavy Python shop is using Airflow in some way these days. It shouldn't take much time in Airflow's interface to figure out why: Airflow is the missing piece data engineers need to standardize the creation of ETL pipelines. The best part of Airflow, of course, is that it's one of the rare projects donated to the Apache foundation which is written in Python. Hooray!
If you happen to be a data engineer who isn't using Airflow (or equivalent) yet, you're in for a treat. It won't take much time using Airflow before you wonder how