Back-End Web Developer with Python Salary in 2024
How statistics are calculated
We count how many offers each candidate received and for what salary. For example, if a Back-End Web developer with Python with a salary of $4,500 received 10 offers, then we would count him 10 times. If there were no offers, then he would not get into the statistics either.
The graph column is the total number of offers. This is not the number of vacancies, but an indicator of the level of demand. The more offers there are, the more companies try to hire such a specialist. 5k+ includes candidates with salaries >= $5,000 and < $5,500.
Median Salary Expectation – the weighted average of the market offer in the selected specialization, that is, the most frequent job offers for the selected specialization received by candidates. We do not count accepted or rejected offers.
Trending Back-End Web tech & tools in 2024
Back-End Web
What does a back-end developer do?
A back-end developer is in the back end of a more or less invisible system of unseen work, but vital all the same to web development. Back-end developers make sure the website or application works how it should. They have to deal with servers, databases, and application logic. They develop systems and processes. They maintain databases. They deal with bugs. They interface with APIs. They make security systems work correctly.
Specifics differ from firm to firm, but on the back end a back-end developer might oversee some, most, or all of the following:
- Developing the systems and processes to meet the application’s specified requirements
- Maintaining databases, including data storage and retrieval, organization, backups, and security
- Finding and fixing bugs in the back-end code
- Managing any APIs the company uses to integrate applications, both externally and internally
- Conducting performance optimization to increase efficiency and improve the user experience
- Building and managing libraries of code for reuse by developers across the business
- Helping develop the overall architecture of the application’s back-end
- Securing the application from cyberattacks
Back-end developers also work together with front-end developers to transform their function into user-facing content in the app interface. Back-end developers often deal with managers, architects, designers, researchers, IT security and so many others to make web applications work.
In the end, front-end developers aim to make the interface fun, playful, and interactive while back-end teams build up the invisible structures that power the front-end.
Back-end Developer Skills
Ok, so we now know what a back-end developer does (mostly). But what does she need to know in order to do it? In this part, we’ll be looking at the primary skills to look for if you’re hiring a back-end developer, or if you’re hell-bent on becoming one.
Programming Languages
Web developers use a multitude of languages to build the servers, databases, and application logic on servers. Here is the list:
Python
Python is a general-purpose programming language, commonly used for building the non-public, or ‘back-end’, part of software programs and web applications currently charging you for breakfast, dinner, or that retro toy you ordered on a whim on a marketplace site last night. It is a powerful language that is enjoyable to write in, and able to operate well for any purpose you throw at it. Every back-end programmer should at least have a basic level of knowledge about it.
Java
Java, another general-purpose language, is often used in the back-end of application development for the same reason. It’s deployable across many environments and flexible enough to power very large, complex, high-performance software projects.
PHP
PHP is a so-called server-side programming language – this basically means, you create a website using PHP which dynamically loads content at the demand of the user (or the browser requesting the page). PHP dynamically builds the page on the server from content of housed databases. The opposite of this is a static website – which means you create a website, and it’s stored completely on the servers and therefore presented exactly the same to all visitors – even if, in PHP, the display can be different.
Other Languages
True, there are many other programming languages that back-end developers might prefer. There’s Ruby, a high-level language that allows one to build both web and mobile applications in a quick and effective manner, there’s C, a lower-level language (and the most popular language in the world), and there’s .NET, a framework provided by Microsoft to build websites and web apps.
Furthermore, a back-end developer might write code in SQL (Structured Query Language) or JSON (JavaScript Object Notation), programming languages that are geared towards database management.
Front-End Languages
Although it’s often the case that the back-end developer works almost exclusively on the server-side in a language like PHP or Java, some basic knowledge of front-end languages such as HTML, CSS, and JavaScript will still come in handy when you work on a web-based project. In general, there are three technical languages that you learn on the front end:
- HTML (HyperText Markup Language): Codes content (text and links) and structure of a web page. All web pages are built with HTML, and its file names always end in .html.
- CSS (Cascading Style Sheets): Because Cascading Style Sheets are a programming language that describes how pages should look – without it, the web would be filled mostly with seas of block text and images with no layout or style. CSS is also the reason that web page content adapts to fit different browser sizes and devices.
- JavaScript: Often abbreviated as JS, developers use it to change animations, dynamically update page content, and on websites run scripts without having to ask the back-end.
These languages will make it easier for you to work with front-end developers and designers and, if there is a bug that uses both front-end and back-end resources, it will help you to diagnose it faster. They are also good skills to learn in general, especially if you want to learn design or become a full-stack developer.
Database Management
Moving data in or out of the application database, a significant part of the back-end developer’s work, comes under the scope of modern database technologies.
Databases can be divided into two types: relational databases and non-relational databases. Relational databases store related data points like a customer such as name, and email or account ID. Relational Databases are data arranged in a tabular manner with relata in the same row and the language used to interact with it is SQL.
Then, in contrast to relational databases, non-relational databases (or NoSQL databases) don’t typically store data points based on their relatedness (though they might relate the data nonetheless). Instead of rows in tables, non-relational databases store their information in Extensible Markup Language (XML) and/or JavaScript Object Notation (JSON). Useful knowledge about NoSQL database programmes, such as Redis and MongoDB, can go hand-in-hand with SQL on the back-end.
Server-Side Software
Back-end developers get process versions in server systems. You should be familiar with standard server software such as Apache, Nginx, Microsoft IIS, and Linux-based operating systems. You should know how web servers receive and handle requests for web pages on websites, how they store the data they get, and the basics of keeping them scalable and safe.
APIs
An API – an application programming interface – is a set of definitions and protocols that allows two applications (or pieces of software) to talk to and share data with each other. An API goes out and listens for incoming requests from another application, and then responds by carrying out that request (which could be requesting or modifying some chunk of data in the database of the other app). Every time you see one piece of software reused in another, APIs made it possible. Apps such as Facebook, YouTube, Google and Spotify make tons of their data available through public APIs.
There are plenty of APIs in existence today, the most prominent of which are REST APIs. If you want to be a web developer, you’ll need to have a working knowledge of REST APIs (and possibly SOAP ones), a technology that ties together not only different applications owned by different vendors, but also individual back-end services.
Data Structures and Algorithms
In contrast to other, more concrete technologies that will be discussed below, data structures and algorithms are highly conceptual but still incredibly important. A competent back-end developer must have a decent understanding of these areas to perform his or her job, which is why they appear in the academic curriculum of computer science.
Making a picture in the mind: a data structure is a pattern we use in a computer to organise data. The above examples were arrays, linked lists, trees, and tries; hash tables, heaps, stacks, and queues – the back-end developer will run into most or all of these at some point in their career.
Broadly, an algorithm is a defined process to solve a problem. Every back-end developer is familiar with the foundational algorithms of computer software: you’ll use some form of sorting algorithm; you’ll write some kind of search algorithm for searching texts or databases; you’ll parse and compare strings; you’ll hash stuff to make comparisons between string lengths easier; you’ll use recursive algorithms, or code that’s essentially a textual expression of how a function repeats itself.
Other Important Skills
There is also much more that you can learn in the domain of back-end programming than just those core skills, as listed above. Here are some more skills that you will find useful as a back-end programmer:
- Experience with a version control system — likely Git, as well as familiarity with GitHub
- Knowledge of orexperience with server management
- Communication skills, and an ability to explain complex technical topics to non-experts
- Time management skills, as you’ll likely be balancing several responsibilities at once
- Understanding of cloud computing and hosting
- Understanding web accessibility best practices
- Understanding cybersecurity best practices
Where is Python used?
Web Crawling Shenanigans
- Python slinks through websites like a ninja, snatching data and whispering '404 error' as a joke when pages evade capture.
AI's Kitchen
- Python stirs the AI pot, tossing in a pinch of algorithms and a dollop of data to cook up some truly mind-nibbling intelligence.
Game of Codes
- In the realm of game development, Python plays the jester, not the king, but it still juggles codes and enchants indie developers.
Astronomy's Telescope Lens Polisher
- Python keeps its head among the stars, polishing data from the cosmos and helping boffins unlock the universe's cheat codes.
Python Alternatives
Java
Object-oriented programming language used for enterprise applications, mobile apps, and large systems development.
Example: Android app development
// Python code
def greet(name):
return "Hello, " + name + "!"
# Java equivalent
public class HelloWorld {
public static String greet(String name) {
return "Hello, " + name + "!";
}
}
- Runs on billions of devices worldwide.
- Static typing can lead to fewer runtime errors.
- Comes with a rich set of APIs and a vibrant ecosystem.
- Verbose syntax compared to Python.
- Slower development time due to explicit compilation.
- Can be more challenging for beginners.
JavaScript
The scripting language primarily for the web, used in front-end development and increasingly in back-end with Node.js.
Example: Interactive websites, server applications
// Python code
def add(x, y):
return x + y
# JavaScript equivalent
function add(x, y) {
return x + y;
}
- Essential for client-side web development.
- Highly versatile with frameworks like React, Angular, and Vue.
- Event-driven non-blocking I/O with Node.js.
- Dynamic typing can lead to runtime errors.
- Asynchronous programming can be complex.
- Fragmented ecosystem due to rapid evolution.
Go (Golang)
A statically-typed language designed at Google, known for its simplicity and high performance in concurrent operations.
Example: Cloud services, distributed networks
// Python code
def add(x, y):
return x + y
# Go equivalent
func add(x int, y int) int {
return x + y
}
- Optimized for multi-core processors with built-in concurrency.
- Statically-typed with a clean and readable syntax.
- Efficient execution and a strong standard library.
- Limited third-party libraries compared to Python.
- Interface-based type system can be tricky.
- Less versatile for certain applications.
Quick Facts about Python
Monty Python's Love Child
Let's kick things off with a chuckle: Python, a coding language that's as much about fun as function, was born in the late '80s thanks to a chap named Guido van Rossum. He was on a quest to combat the drudgery of the season (think Christmas with no presents) and ended up crafting this nifty script-slinger in 1989. But here's the twist—it's named after the British comedy troupe Monty Python. So remember, always expect the Spanish Inquisition when you're debugging!
The Zen of Python
If Python was a dude, it'd be the 'chill' one at the party. It's got this mantra—The Zen of Python—which is basically the 'Hakuna Matata' for coders. It whispers sweet nothings like "beautiful is better than ugly" and "simple is better than complex." Want a piece of that Zen? Just type
import this
into your Python console and get ready for some programming enlightenment.
Release the Pythons!
Eyebrows hit the ceiling in 2008 when Python 3 sauntered into the scene. Codenamed "Python 3000" or the cooler-sounding "Py3k", this bad boy was no mere update—it was like Python had drunk a whole new type of coffee. It had impressive new features, but also broke backwards compatibility, meaning code written in Python 2 needed to shape up or ship out. It sparked a love-hate relationship that has kept forums buzzing and devs chugging energy drinks into the wee hours.
What is the difference between Junior, Middle, Senior and Expert Python developer?
| Seniority Name | Years of Experience | Average Salary (USD/year) | Responsibilities & Activities |
|---|---|---|---|
| Junior | 0-2 | $50,000 - $70,000 |
|
| Middle | 2-5 | $70,000 - $95,000 |
|
| Senior | 5+ | $95,000 - $120,000 |
|
| Expert/Team Lead | 8+ | $120,000+ |
|
Top 10 Python Related Tech
- Python
Python slithers its way to the top of the list, being the charming and easy-to-read language that woos developers of all levels. Renowned for its clean syntax and powerful libraries, it's like the Swiss Army knife in a techie's toolkit. It's the VIP pass to a plethora of frameworks, tools, and libraries. Python's versatile nature lets it code everything from a tiny script to a full-fledged spaceship (okay, maybe not a spaceship).
def greet(world):
print(f"Hello, {world}!")
greet("Developers")
- Django
Picture Django as the cool kid on the block that lets you whip up web applications without breaking a sweat. This high-level Python web framework follows the "batteries-included" philosophy, which means it gives you everything and the kitchen sink to avoid the dreaded "NotImplementedYet" blues.
from django.http import HttpResponse
def hello(request):
return HttpResponse("Look ma! I built a web app with Django!")
- Flask
Flask is your minimalist buddy in the Python web framework world, who is a fan of simplicity and elegance. If Django is a Swiss Army knife, Flask is your trusty scalpel — precise and perfect for smaller incisions into the web dev body. It gives you the foundation to build basic web services quicker than you can say "micro-framework."
from flask import Flask
app = Flask(__name__)
@app.route("/")
def home():
return "Flask makes web dev fun!"
- NumPy
NumPy is like the gym for Python where data goes to get buff. It's all about handling those heavy-lifting numerical operations with its powerful array objects. Data scientists and engineers flex their coding muscles with NumPy to crunch numbers faster than a calculator on a sugar rush.
import numpy as np
a = np.array([1, 2, 3])
print(f"NumPy says hi: {a}")
- Pandas
Pandas is not your everyday black and white bear. In the Python jungle, it's the go-to data manipulation expert, ideal for munging and messing around with data frames. Its ability to devour messy data and spit out clean results is legendary among data wranglers and analysts.
import pandas as pd
df = pd.DataFrame({'A': [1, 2, 3]})
print("Pandas and chill: ")
print(df)
- Git
Git is the timeless classic of version control systems. It's like that trusty old spellbook for developers, keeping all versions of their magical codes safe and sound. The incantation "git commit" is often followed by a sigh of relief, knowing that changes are tucked away in their repository repository, safe from accidental catastrophes.
- Docker
Docker is the sorcerer's stone of consistent software deployment — converting applications to portable, containerized spells that can run almost anywhere. With Docker, you can stop saying, "But it works on my machine!" and start shipping apps in their cozy little environments.
- PostgreSQL
PostgreSQL, affectionately called Postgres, is the database giant that won't give you a "sql-ache". It's an open-source relational database that juggles SQL compliance with, throwing in enough advanced features that you'd think it’s doing data magic.
- Redis
Redis is like that flash memory card that surprises you with its speed every time. It's an in-memory data structure store, used as a database, cache, and message broker. It’s like giving your data a triple espresso shot, so your app's data-fetching game is always on point.
- AWS
AWS, or Amazon Web Services, is the colossal cloud playground where developers deploy their apps without ever worrying about running out of sandbox space. It's a haven of scalable resources, with enough services to make any developer feel like a kid in a candy store, or rather, a techie in a tech store.