Python Developer Salary in United States during 2024

Salary details

The average Python Developer salary lies between USD 93,400 and USD 132,000 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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 | 260 jobs Machine Learning | 177 jobs Engineering | 161 jobs SQL | 115 jobs Computer Science | 102 jobs APIs | 101 jobs AWS | 93 jobs Agile | 91 jobs Testing | 83 jobs Pipelines | 74 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 | 183 jobs Flex hours | 96 jobs Startup environment | 90 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

In the United States, the salary composition for a Python Developer in AI/ML/Data Science typically includes a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Bonuses can vary significantly depending on the company’s performance, individual performance, and industry standards. In tech hubs like Silicon Valley, New York, or Seattle, companies might offer substantial bonuses and stock options, especially in larger tech firms or startups with high growth potential. In contrast, smaller companies or those in less competitive regions might offer a higher base salary with fewer additional incentives.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open doors to higher-paying roles.
• Networking: Engage with professional networks and communities. Attending conferences, meetups, and workshops can lead to new opportunities.
• Leadership Roles: Aim for leadership or managerial positions, which typically offer higher salaries.
• Switching Companies: Sometimes, moving to a new company can result in a significant salary increase, especially if you leverage offers from other companies.

Educational Requirements

Most positions for a Python Developer in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, mathematics, statistics, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for more advanced roles. A strong foundation in mathematics and statistics is crucial, as these are the backbone of machine learning algorithms.

Helpful Certifications

While not always mandatory, certain certifications can enhance your resume and demonstrate your commitment to the field:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can validate your skills and knowledge, making you a more attractive candidate to potential employers.

Required Experience

Typically, employers look for candidates with at least 2-5 years of experience in software development, with a focus on Python. Experience in data analysis, machine learning model development, and deployment is highly valued. Practical experience with data manipulation libraries (like Pandas and NumPy), machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), and cloud platforms (AWS, Azure, or Google Cloud) is often required.

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