Career Path Advice

Question

Hey everyone, I'm a senior in college and I am looking for a data engineering job at the moment. I want to go into data science and I think that data engineering would be a good place to start. That way I can get my masters degree paid for my by employer, still learn relevant skills, and work with data scientists.

I have had 3 internships all at medium to large insurance companies in the Northeast, where I have had experience in SWE, Data Analytics, and Data Engineering. I have taken an AI class, and am taking ML and Big Data classes currently. Is this a good plan? If it is, what should my next steps be as far as my first job, what kind of prep and other skills do I need for a DE interview?

AnimeNinja · Accepted Answer

1. Getting masters paid from work means you might have to dedicate more time into the company. Ie it might be written in your contract to work for X many years. Otherwise you might have to pay back the company if you leave early.
2. Taking courses compared to internships, the latter triumphs. Tbh courses are not important at all. I recommend taking project driven courses.
3. To get into a DE position, get into DE intern/coop. Position over company prestige.
4. To prep, for entry level just do basic leetcode, know basic system design, basic data pipeline and etl.

DonkeyKong · Answer

To prep, take on some projects where you can apply what your learning to real work/projects. One of my favorite sites is the DevPost digest that lists hackathons to participate in. https://devpost.com/It’s a great way to build a portfolio, network and refine your skillsets.

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