Make the right choice for YOU
19 hours ago
If you’re hoping to break into tech or pivot into a new job family, figuring out which career path is right for you isn’t easy — especially when the job titles sound so similar and the roles have a good amount of overlap. Data analytics, data engineering, data science, machine learning engineering, software engineering — while there are definitely similarities, the day-to-day work and the type of person who thrives in each role couldn’t be more different. And if you choose wrong, you could end up spending tons of time and money building skills you’ll never use, or worse, be stuck in a job that makes you miserable.
After years working across these roles myself and mentoring people breaking into tech, I’ve seen way too many folks realize six months into their new job that they picked the wrong path.
So, today I’m breaking down exactly what you need to know about each of these careers to make the right choice for you. Not just the job descriptions, but the real, day-to-day work. What kinds of problems will you actually solve? What skills do you really need? And most importantly — which role fits YOUR strengths and personality?