Python Developer Salary in 2024

Salary details

The average Python Developer salary lies between USD 93,400 and USD 120,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Top 20 Job Tags for Python Developer roles

The three most common job tag items assiciated with Python Developer job listings are Python, Machine Learning and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 261 jobs Machine Learning | 178 jobs Engineering | 162 jobs SQL | 115 jobs Computer Science | 103 jobs APIs | 102 jobs AWS | 94 jobs Agile | 91 jobs Testing | 83 jobs Pipelines | 75 jobs Git | 74 jobs Security | 69 jobs Docker | 67 jobs Architecture | 66 jobs Azure | 65 jobs Pandas | 64 jobs CI/CD | 60 jobs Flask | 59 jobs Big Data | 54 jobs NumPy | 53 jobs

Top 20 Job Perks/Benefits for Python Developer roles

The three most common job benefits and perks assiciated with Python Developer job listings are Career development, Flex hours and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 184 jobs Flex hours | 96 jobs Startup environment | 91 jobs Competitive pay | 72 jobs Salary bonus | 72 jobs Flex vacation | 68 jobs Health care | 49 jobs Team events | 33 jobs Equity / stock options | 26 jobs Insurance | 24 jobs Medical leave | 19 jobs Parental leave | 9 jobs Wellness | 9 jobs Conferences | 9 jobs Fitness / gym | 6 jobs Gear | 5 jobs Relocation support | 5 jobs Lunch / meals | 4 jobs 401(k) matching | 3 jobs Travel | 2 jobs

Salary Composition

The salary for a Python Developer in AI/ML/Data Science typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive market. In contrast, regions with a lower cost of living might offer a smaller base salary but compensate with bonuses or stock options. Industries such as finance or healthcare may offer higher bonuses due to the critical nature of data-driven insights in these fields. Larger companies often provide more comprehensive benefits packages, including stock options and profit-sharing, while startups might offer equity as a significant part of the compensation.

Increasing Salary

To increase your salary from this position, consider specializing in a niche area within AI/ML, such as natural language processing or computer vision, which are in high demand. Pursuing leadership roles, such as a team lead or project manager, can also lead to higher compensation. Additionally, gaining expertise in cloud platforms like AWS, Azure, or Google Cloud can make you more valuable, as many AI/ML projects are deployed in cloud environments. Networking within industry groups and attending conferences can also open up opportunities for higher-paying roles.

Educational Requirements

Most positions for Python Developers in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, a master's degree or Ph.D. can be advantageous, especially for roles that involve research or advanced algorithm development. Some employers may also consider candidates with equivalent practical experience or a strong portfolio of projects.

Helpful Certifications

Certifications can enhance your resume and demonstrate your commitment to professional development. Some valuable certifications include:

• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications validate your skills in specific tools and platforms commonly used in the industry.

Required Experience

Typically, employers look for candidates with 2-5 years of experience in software development, with a focus on Python. Experience in data analysis, machine learning model development, and working with large datasets is often required. Familiarity with libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow or PyTorch is also expected. Experience in deploying models to production and working in agile environments can be beneficial.

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