The work is often dull. Often it's ETL plumbing disparate historical systems together to generate reports, maybe some machine learning, sorry I should say "AI"

The work is often dull. Often it's ETL plumbing disparate historical systems together to generate reports, maybe some machine learning, sorry I should say "AI" \s. There's certainly some challenging engineering though, especially distributed systems challenges, some caused by the old historical systems you need to integrate to get data out reliably and correctly. Unless you are working on greenfield projects I'd say the only reason is 1) It interests you 2) It pays more I'm dying to find a non data engineering job but they all come with 30-50% pay cut.