Salaries at Big Tech Firms- Data Edition[Finance Fridays]
Some of these numbers are crazy. Use them to keep the end in mind.
Happy Friday mes amis,
That is French for my friends if you were wondering.
Today, we have a pretty great breakdown of the salaries at some of these big companies. This post specifically covers the salaries for Data related roles. Give it a read if you’d like to get involved in the field, or are already working in the domain.
https://medium.com/@mikldd/data-salaries-at-faang-companies-in-2022-29d5b56b2428
Understanding the salaries is important since it teaches you how to value yourself when negotiating your salaries. As the saying goes, Knowledge is Power. Understanding the market rates will help you price yourself accordingly. Far too many people undersell their skills and thus lose out on a lot of potential revenue.
Secondly, use this information to keep the end in mind. Many of you are interested in these careers because of the compensation/benefits. Getting into one of these higher-tier firms is hard, and will require a lot of effort and practice. Keeping these numbers in mind will help you stay on track.
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Lastly, try to remember this. There is a severe shortage of upper-level engineers. This is one of the reasons that the pay rises up so much as you become more experienced. This also means that you can start working somewhere small at first, to build up your experience. Once you gain that work experience, transitioning into the bigger companies is much easier. They will often reach out to you for interviews. When that happens, as long as you are ready, you will get high-paying jobs and propel your career. Again, patience and mastery are your best friends.
Since Data and Machine Learning are my domains, make sure you check out my other content if you want to work in that field.All my links are at the end of the post. Make sure you connect with me there.
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Happy Prep. I’ll see you at your dream job.
AI Nerd,
Devansh <3
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