The spectrum of tasks data scientists and engineers need to do today is tremendous. The best description of it you will find in this article: The AI Hierarchy of Needs. A long road of technical problems needs to be completed before you can start working on the real business problem and build valuable data products.  Most of the time is spent on infrastructure, data security, transition, processing, storing, provisioning, testing, and operational readiness/healthiness. 

As a data engineer, I need a single interface or operating system with composable capabilities provided in distributed hybrids environments and extensible for future implementations.