Software Engineer vs Data Engineer

[berlinerd]

It looks like software engineer job field is too saturated.
There are so many people trying to get software engineer job position.

Do you guys think data engineer / data scientist job field is a better choice?
I have a few friends who majored in math and minored in computer science. They could get a job as data scientist at FAANG and another big techs.
I would try that path way as well and perhaps finish a degree in math or data science.

In general, I don't think the salary expectations are much different, you can check the median wages online. It is quite saturated too, but the demand for smart folks is always here. It is, however, much different too from Software Engineering and it's not everybody. It may be boring. Data Engineer is more about data infrastructure and collecting-extracting data (with a lot of coding). There is AWS certification for that right now: https://aws.amazon.com/certification/cer...associate/. 

Data Science is more about data analysis, statistics, machine learning. Not necessarily AI. Lots of coding too.

There is a demand for such specialists, but the additional degree alone does not quite give an edge... unless it's PhD. Lots of heavy data science require PhD in data science/math/statistics.

But my recommendation from other thread about SNHU is still in force. I'd go for SNHU CS with minor in Applied Math or minor in Mathematics. It is very flexible degree setup.

The better resume, however, for these positions is lots of projects which you can show on github or anywhere else. And the projects have to be meaningful, not just regular stuff everybody does. Then you may shine out of crowd.