Python Salary: Your 2025 Guide

Python is a high-level programming language well-suited for rapid application development. Its clear and straightforward syntax boosts code readability, simplifying maintenance and updates. As of November 2024, Python is ahead of C and Java to claim the top spot on the TIOBE Index of programming language popularity [1].

A wide selection of Python frameworks helps developers create web applications faster and with greater ease. Programmers also harness Python scripts to automate routine yet tedious tasks such as sending bulk emails, deleting duplicate text, and converting multiple file types. 

Keep reading to discover jobs that involve Python. Explore the necessary skills, job prospects, and career paths in Python. 

Did you know? Dutch programmer Guido van Rossum developed Python in 1991, naming it after the British comedy series Monty Python’s Flying Circus [2].

Python salary guide: Jobs that use Python and what you can earn

Whether you’re a beginner or a seasoned programmer, Python’s relevance in fast-growing fields like machine learning makes it a valuable addition to your professional toolkit. Below is a roundup of jobs you can target with Python as a skill.

*All annual base salary data is sourced from Glassdoor as of November 2024. It does not include additional pay, such as commission and benefits.

1. Python developer 

Average annual US salary: $97,386

Typical education: A bachelor’s degree in computer science or a related discipline.

The Python developer role involves handling both coding and web development tasks. Notably, you will specialize in Python while also having an understanding of web programming languages like HTML and CSS. Understanding web frameworks that are compatible with Python is also essential. 

2. Software engineer 

Average annual US salary: $117,246

Typical education: A bachelor’s degree in computer science, information technology, or a similar field. However, you may be able to earn a job with your experience and relevant skills without a degree.

As a software engineer, you will have a solid grasp of several programming languages, including Python and C++. This expertise will enable you to take on a variety of responsibilities, such as developing and maintaining software applications across different domains. You will work on projects ranging from creating immersive visual applications to designing robust software security systems.

3. Data engineer 

Average annual US salary: $105,604

Typical education: A bachelor’s degree in computer science, data science, software engineering, or a related field; certifications and relevant experience

In your role as a data engineer, you will work toward building infrastructures, data flows, and tools that convert raw data into actionable insights. In addition to proficiency in programming languages—like Python, R, and Scala—you will have expertise in data security, ETL processes, data transformation, and machine learning.

4. Data scientist

Average annual US salary: $116,354

Typical education: A master’s degree in data science, computer science, statistics, or a related field

As a data scientist, you will analyze data sets and work toward creating applications that reveal patterns in data. You will make use of programming languages like Python, SQL, and Java for data cleansing and visualization. Additionally, you may help build predictive data models that aid businesses in making informed decisions.

5. Machine learning engineer

Average annual US salary: $121,702

Typical education: A bachelor's degree in data science, math, software engineering, or a related field

As a machine learning engineer, you blend the roles of a data scientist and a software engineer. 

You will use tools like TensorFlow to build data models and Python to code and troubleshoot algorithms. You’ll be responsible for designing and implementing machine learning and AI systems. Furthermore, with expertise in statistics and probability, you may design, as well as train, advanced mathematical and technical algorithms. 

6. Back-end developer 

Average annual US salary: $90,147

Typical education: A bachelor’s degree in computer science or a related field; certifications and relevant experience 

The back-end developer role involves writing code that defines the core functionality of an application. Depending on project requirements, you may choose from a wide range of programming languages. A firm grasp of server-side languages—like Python, Ruby, and C#— enables you to build reliable, high-performing applications. 

7. Automation engineer 

Average annual US salary: $103,846

Typical education: A bachelor’s degree in computer science, automation, process control, or a related field; certifications and relevant experience

As an automation engineer, you will make use of programming languages such as Python and Java to program bots and other automated systems. From data entry to store checkouts, you will modify existing processes and technology to minimize the need for human intervention. 

8. DevOps engineer

Average annual US salary: $108,277

Typical education: A bachelor’s degree in computer programming, software development, computer science, or a related field; certifications and relevant experience

Acting as a bridge between development and IT operations teams, the DevOps engineer role involves streamlining and automating processes in the software development lifecycle. You may develop solutions for both cloud and on-premises systems. Typically, you will be adept in one or more coding and scripting languages, including Python, PowerShell, and Bash.

How to increase your Python salary

The more expertise you have, the greater your potential earnings. Below are a few steps you can take to hone your Python skills:

Gain practical experience. 

Continuous practice can improve your problem-solving skills. You can gain hands-on experience by doing internships and contributing to open-source projects. Keep a portfolio of recent Python projects you are proud of to showcase to future employers or when networking.  

Obtain a certification. 

Employers often seek formal evidence of training and proficiency, and having a recognized certification enhances your credibility. The following are a few notable options you can consider:

• PCAP – Certified Associate Python Programmer 

• PCEP – Certified Entry-Level Python Programmer

• PCAT – Certified Associate Tester with Python

Keep up with the advancements in Python.

Staying informed about the latest Python advancements and industry trends is key to your professional growth. Subscribe to relevant newsletters to enrich your understanding of best practices in Python. You may also opt to further your education through advanced courses and specializations. 

Develop your Python skills with Coursera

From data science to artificial intelligence, Python is widely preferred by businesses to build complex applications. Get a headstart in learning Python with the Crash Course on Python, offered by Google, on Coursera. Designed for beginners, this course guides you through basic Python syntax, key data structures, object-oriented programming (OOP), and core programming concepts. You will also learn how to use Python for automation. You will need 31 hours to complete this course. Or gain a relevant certificate with the Google IT Automation with Python Professional Certificate or the University of Michigan’s Python for Everybody Specialization, both of which provide job-ready skills and allow you to master hands-on projects.