Data science, data engineering and analytics get treated as one hiring market and they are three. A team that needs pipelines will not be fixed by a modeler, and a team that needs decisions will not be fixed by an engineer. These posts cover how to tell which problem you actually have, what a useful technical assessment looks like for each, and what the market pays across cities. Written for the people signing off on the headcount.