Tech Careers: Part One

Hana Gabrielle Bidon
6 min readMay 12, 2022
Three women of different races are sitting on a light grey couch with their laptops on their laps as they’re looking over each other’s work.
Photo by Christina @ on Unsplash

Whether you are learning your first programming language or have been coding since you were six years old, tech provides a wide range of career paths to pursue. This article, which is the first one in an eight part series, can cover a small percentage of tech careers and tech-adjacent careers, provides an introduction to some tech careers that combine other interests.

To kickstart your career in tech, discover the right role for you. This can come in the form of messaging people on LinkedIn who are in a career that you aspire to be in like software engineering. Another way is to read articles like this and search on Google different types of tech careers you can potentially look into.

Furthermore, I highly recommend you self-reflect about what you want in a career regardless if a tech career or a tech-adjacent career. Some questions you may ask yourself can be as follows:

  1. How can I potentially combine my strengths and interests in a career?
  2. What do I want to do day-to-day in my future job? Do I want to primarily code or have lots of face-to-face interaction with my clients?
  3. How would I take the steps to get to a tech career I would enjoy? Would I be fine with a bachelor’s degree or need to get an advanced degree?

In this article, I am discussing some of the most popular tech careers:

  1. Data Science
  2. Product Management
  3. Software Engineering

Data Science

A colorful data visualization in a black background has two histograms on the top and two multi-line graphs on the bottom.
Photo by Luke Chesser on Unsplash

Data science is a new field compared to other tech careers mentioned in this article, namely software engineering. Additionally, it emerged out of fields like data mining and statistical analysis. Data mining is “the process of finding [outliers] and patterns within large data sets to predict outcomes using a variety of methods” (SAS Institute 2022) and statistical analysis, “the science of collecting, analyzing, and presenting large” data sets to provide insights on trends and patterns (SAS Institute 2022). According to Oracle, data science took off by 2008 with the increasing volume of data and companies needing…

Hana Gabrielle Bidon

I'm Hana Gabrielle and HG for short. I’m passionate about tech for social good, mental health, neurodiversity, & everything else in between.