This lines up with my experience, and I've found it heavily depends on what industry you are in. > software engineer in the data domain. I was basically this

This lines up with my experience, and I've found it heavily depends on what industry you are in. > software engineer in the data domain. I was basically this for the past ten years. Maybe it was because I was working only in startups. Outside of tech/startup orgs, "data engineer" at least I found, were SQL specialists. About six years ago, I went into healthcare, and discovered there were about 30 people across five teams that were data engineers. "Oh cool. My colleagues," I thought. Imagine my surprise when I found they only knew SQL, knew data modeling theory, and had basically no SDLC experience. At my present job, in a traditionally blue-collar industry, I took over a team with the only data engineer in the whole company. He, too, knew only SQL. I've had shove Python at him and get him working in SDLC. I think these people though, are shrinking. Putting pressure on this from the other side, Python is a common skill with data analyst these days. Software engineers do the heavy lifting and good-enough data modeling, while data analyst do business-specific analysis and good-enough software development like writing DAGs with Dagster. Knowing SQL isn't enough to get by in the job market.