Python Jobs + Salary Guide for Bootcamp Grads

Table of Contents

• Python Jobs 101
• Python Developer Salary
• 7 Python Job Titles in 2023 
• 1. Python Programmer/ Python Developer
• 2. Data Scientist
• 3. Machine Learning Engineer
• 4. Web Development 
• 5. Software Engineer
• 6. Data Engineer
• 7. Data Analyst
• How to Learn Python

Curious about what career paths lie ahead for someone skilled in Python? Our latest Bootcamp Alumni Outcomes Report revealed that bootcamp grads saw a 43% salary increase from pre-to-post bootcamp – Python programmers in particular reported making $78,604 after graduating from Python bootcamps! This guide highlights Python jobs and their expected salaries to help you choose a coding bootcamp that’s right for you and your future. Whether you want to be a data scientist, analyst, developer, or engineer, if you’re interested in learning one of the most popular and powerful programming languages out today, there’s a place for you!

Python Jobs 101

Python jobs are abundant in 2023, as Python is one of the most popular programming languages to learn, read, and use, and is relied on heavily in both web development and data science careers, namely as a Python developer, data scientist, and analyst. Python is also the primary program behind finance, big data, and statistics jobs. 

You may be wondering, What can you do with Python? As an all-purpose programming language, a Python developer uses Python to: 

• Build and host websites
• Analyze data
• Automate tasks
• Track and analyze data traffic on websites 

A Python developer also utilizes evolutions to the language through Python’s expansive open-source library and community, for free. Learning Python in 2023 is a good choice for beginners, for those that want to learn and work remotely, and those that want to develop the foundational skills necessary to break into a lucrative programming career. 

Python Developer Salary

Python developer salaries are higher than the average software developer. The highest Python salaries work in the fields of data science, web development, and machine learning. According to our latest 2020 Bootcamp Alumni Outcomes Report, bootcamp grads who learned Python earned a 43% salary increase from pre-to-post bootcamp. The average pre-bootcamp salary for a Python learner was $54,910, while a Python programmer salary post-bootcamp was $78,604! 

7 Python Job Titles in 2023 

Whether creating applications, modifying software, or analyzing data, these 7 tech roles depend on Python. Find out more about the responsibilities and skill sets required for each role, plus the typical salaries.

1. Python Programmer/ Python Developer

A Python developer must understand Python and how to write, test, debug, and optimize data processing applications. Often it’s important to understand other programming languages such as Java, Javascript, and C#. Python developers need to be able to design and develop websites from scratch, alone or with a team, and understand CI/CD automation. Additionally, a Python programmer may also need to be able to write technically, such as API call specs. 

💰 The average Python developer salary is $93K, with a range between $85K and $102K. A Python programmer salary will depend heavily on education, experience, and expertise. 

2. Data Scientist

Data scientists need to know statistical analysis, data analysis, machine learning, data modeling, and other programming languages, like R and Python. Data science is the intersection of computer science, mathematics, and statistics. Data scientists: add value to companies, extract and analyze data, and prepare datasets. Data scientists create tools to analyse data in order to inform insights and optimize business metrics and must effectively listen, communicate, document, and present their data interpretations. They must possess excellent skills in math, statistics, and communication. 

💰 The average data scientist salary is $133K, between a range of $119K and $147K. The pay range of a data scientist depends on factors of education, years of experience, and areas of expertise, among others. 

3. Machine Learning Engineer

Machine Learning Engineers (MLEs) need to know machine learning, deep learning, natural language processing (NLP), computer vision, and Python. MLEs design, develop, and implement solutions and processes for business and customer data using advanced technologies such as optimization and machine learning. Machine Learning Engineers often emerge into another Python job as a Data Scientist. 

💰 The average Machine Learning Engineer salary is $120K, ranging from $109K to $134K. 

4. Web Development 

Web Developers write code for websites, data access and software modification. They often work with designers to enhance usability. Responsibilities depend on what part of web development one works with, including front end, back end, or full stack. Python is one of many languages a Web Developer must know; others include Java, Javascript, CSS, C#, and Ruby on Rails.

💰 The average Web Developer salary is $73K a year, with a range of $56K and $77K. 

5. Software Engineer

Software engineers work with others to design and develop complex computer systems and applications using principles and methodologies of computer engineering. Also known as a software developer, software engineers analyze user requirements and translate that information into a larger design. Software engineers do less coding than other data and development roles but still require knowledge in Python and other programming languages. 

💰 Software Engineer salary averages at $116K in a range of $63K and $169K.

6. Data Engineer

Data engineers construct systems that turn raw data into interpretable, usable information for analysts, data scientists, and machine learning engineers to decipher and utilize. Similar to software engineers, data engineers differ in that they ensure clean and clear data pipelines. Data engineers ensure that data goes where, when, and how it needs to go in order for models developed by data scientists to work. Data engineers use Python for web scraping and app mock-ups. 

💰 The average Data Engineer salary is $108K, with a range of $90K and $126K. 

7. Data Analyst

Data analysts categorize, store, and analyze data to inform trends and patterns in businesses. Often an entry-level position, data analysts prioritize business intelligence and how to gain insights from different data types. They test programs and databases, debug them, and make modifications to them. Tools data analysts need to be familiar with include Python, SQL, and Excel. 

💰 The average Data Analyst salary is $78k, ranging between $68k and $87k. 

How to Learn Python

For those with little-to-no programming experience, consider learning the basics with Python tutorials, many of which are totally free. No matter which tutorial you choose, make sure you are learning the newest version of Python.

Once you’re ready to dive deeper, consider enrolling in a Python bootcamp to explore the intricacies of this powerful, easy-to-use, and fun programming language. Python bootcamps may be available online or in-person, and a good bootcamp will include a robust curriculum taught by dedicated instructors. Lengths of time and cost of attendance vary per state, school, and availability, from 5 days to 3 months, and $500 to $16,000. Some bootcamps offer tuition assistance or incentives post-graduation. Learning from a dedicated bootcamp will ensure you get the most out of your education experience and prepare you for a successful career in tech.