Hey Comrades! 
. I want things to change. I am proficient in Python programming, but I have no experience in data science or data engineering. Which is more difficult, and obviously which is better in terms of pay and professional progression, do you guys think I should pursue? Many thanks in advance to all of you! 
Just focus on being a data person who excels in various skills, and observe where your organization gains the most value. Also, consider what brings you the most joy personally. Start there and build your path forward.
It seems to rely on the organization. Because they don’t spend as much time face-to-face with the executives, some organizations don’t value data engineers. Even though I’m a data scientist, without my data engineers, I would be nothing. Poor data results in ineffective model output.
I’ve discovered that data engineering necessitates a far greater knowledge of languages and technologies. Two languages are actually all that are needed for data science: a programming language like Python and a data querying language like SQL. However, you must possess a strong mathematical background and be adept at explaining complex ideas to non-technical audiences. One weekend a month, my friend who works as a data engineer is generally available. On the weekends and after work, I never have to think about work.
I think it depends on the organization. Some orgs don’t value data engineers because they don’t get as much face time with the higher ups. I’m a data scientist but I’d be useless without my data engineers. Bad data in means useless model output.
I’ve found that data engineering requires you to know way more languages and tools. Data Science only really requires two languages, a data querying language like SQL and a programming language like Python. But you have to know a lot of math and be good with relaying technical concepts to nontechnical people. My friend that’s a Data Engineer is usually on call one weekend a month. I never have to think about work on the weekends or after the work day except in emergency situations.
Im not sure which job pays more, though. I usually automatically decline when recruiters reach out for DE roles because I know I don’t have the skills.
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Just go for data engineering, there is money there
From what I’ve seen, data scientists can pull in around $137,000 annually, as per Glassdoor. Meanwhile, data engineers might hit up to $116,000 a year. So…
Hello, I prefer Data Scientists because their primary concentration is on getting insights from data. They analyze massive datasets, develop predictive models, and produce visualizations to present their findings.