The short answer? On average, backend developers make either $82,462, $95,472, or $104,865 per year in base pay depending on who you ask. (I asked Glassdoor, Indeed, and Salary.com respectively.) StackOverflow uses medians instead, and their survey suggests the backend developers actually make upwards of $150,000 per year. That said, none of those numbers is the full answer. If it were, I wouldn’t be writing this entire post. If you want to know how much backend developers make, those numbers don’t paint the full picture.
I’m really interested in the trends we see in the software engineering job market. Sometimes it’s really hard to tell a cohesive and accurate narrative about what’s happening because it just happens so dang fast, and very few people are collecting data on the matter. For example, here are some questions that I’d like to know the answer to: Does “DevOps” and increased cloud usage mean fewer traditional ops jobs? Do things like Firebase and Supabase mean fewer back-end jobs?
During development you may sometimes notice you run a lot of commands to set up, build, test, and manage your project. Sometimes, these end up requiring several steps, or you have trouble remembering the exact command. One way to manage this is to set up aliases in your shell configuration. While this would work fine for yourself and for a single build system, it would not be possible to share it in a convenient manner.
Want to become a backend developer? Not surprising. Backend developers enjoy an average base salary of $160k per year, not to mention comprehensive benefits. And best of all? You no longer need a four-year degree to learn backend development. With the help of some of the best backend projects, you can prepare yourself for a backend development job in about nine months, even if you’re a total beginner. Note: You should expect to spend around 10 hours a week working on your skills.
Functions are one of the most versatile tools in any Python programmer’s toolbox. They enable code reuse and provide a form of abstraction. Python offers many different types of functions. In this article, I will be discussing the different types of functions you will encounter as a Python developer. Impure Functions 🔗 num = 0 def sq(x): global num num = x # side effect return x * x sq_num = sq(2) # returns 4 print(num) # 2 print(sq_num) # 4 Impure functions are one of the most common type of function.
So you want to get into web development, and you keep hearing about “front-end” and “back-end” positions. The question is, which should you learn first? As someone who’s held both front-end and back-end positions, and even been a hiring manager, read on and I’ll give you my thoughts. There isn’t a right answer, but there is a better one 🔗 To be clear, it’s the wild west out here. In tech, as long as you’re willing to put in the reps, you can teach yourself to code and get any kind of programming job that you want.
So you’re looking for the very best backend bootcamp of 2022. You’re not alone – most backend engineers earn over six figures according to Glassdoor, plus they have wide and varied job prospects. It’s a good gig. However, becoming a back-end engineer can be tough if you’ve already graduated college and you don’t really fancy going back to school for another two-to-four years. Enter backend bootcamps. It’s worth noting that backend bootcamps are relatively rare - most bootcamps focus on the front-end or teach the full stack (both frontend and backend development).
It’s time for some speculation on my part 🔗 I believe that the job duties of “back-end” and “DevOps” engineers will coalesce to include almost everything that “the user doesn’t see”. There will still be room for specialization, but these roles will become less distinguishable overall. First, let’s talk about why I think this is happening, and then let’s talk about what it means for us as back-end and DevOps engineers.
DevOps principles, and CI/CD specifically, are generally presented as a more efficient way to run a software development organization. While I hold the belief that CI/CD is more efficient and effective than manually testing and deploying code, I’d like to talk about something we don’t bring up quite as often. Put simply, CI/CD makes us happy. Developer happiness matters 🔗 There are great resources out there that demonstrate the practical benefits of CI/CD.
The sexiest job title of the decade, data scientist, has spawned about a dozen equally sexy but somewhat confusing and overlapping job titles. The primary offshoot of a data scientist is a data engineer. Let’s talk about the difference between a data engineer and a back-end engineer, because frankly, the lines can get quite blurred. A data engineer (sometimes called a big data engineer) is responsible for designing and building systems that let organizations collect, store, and analyze large amounts of data.