How would you compare a career in data engineering vs one in data science?

I’m currently an analyst at a big 4 consulting firm with 1 1/2 YOE big4 consulting firm and have both BI/data science and data engineering project experience. Trying to decide whether to get on more data engineering or data science projects to continue developing my knowledge and skills in just one area.

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What are your long term goals? DE is more akin to the computer scientist and SWEs while DS is focused on statistics and optimization. If you enjoy designing data systems then DE is better, but if you like hypothesizing and experimenting, DS will be better.

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Also consider the industry you work in and the types of problems your clients need you to solve. My hypothesis is over the next 5 to 10 years, the scarcity of data scientists will wane as tools become more easier for business users. There will always be a need for data scientists, just in more niche areas like military applications, healthcare.

Meanwhile, I can’t imagine demand for data engineering will decrease as the starting point is always getting data.

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I chose to lean in more towards DSci while utilizing all of my past skills with data engineering (Hadoop, Spark, DevOps, etc.). So my niche where I find my roles is “productionalizing and improving models”

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Depends on what you like. I think If you prefer to do more data modeling and bring all the different data together then data engineering but if you prefer to do statistic analytics and predictive modeling then data science. That’s just from my experience though.

Anyone know a good boot camp to learn data scientist that’s not too expensive?

The first question is really whether you should go to a bootcamp or not. Are you just wanting to get on projects that are DS related or transition internally? What are your goals?

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