Salary for Mid-level / Intermediate Python Developer in United States during 2024

Salary details

The average mid-level / intermediate Python Developer salary lies between USD 85,000 and USD 114,000 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 Mid-level / Intermediate Python Developer roles

The three most common job tag items assiciated with mid-level / intermediate Python Developer job listings are Python, Engineering and Machine Learning. 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 | 62 jobs Engineering | 41 jobs Machine Learning | 35 jobs Computer Science | 29 jobs Testing | 26 jobs SQL | 25 jobs Pipelines | 25 jobs APIs | 25 jobs Research | 21 jobs AWS | 20 jobs Agile | 18 jobs Big Data | 17 jobs Git | 17 jobs Pandas | 16 jobs Security | 16 jobs Flask | 16 jobs Docker | 15 jobs Statistics | 15 jobs Data pipelines | 14 jobs Architecture | 14 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Python Developer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Python Developer job listings are Career development, Flex hours and Health care. 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 | 44 jobs Flex hours | 16 jobs Health care | 10 jobs Flex vacation | 9 jobs Competitive pay | 9 jobs Team events | 9 jobs Insurance | 8 jobs Salary bonus | 7 jobs Medical leave | 6 jobs Lunch / meals | 4 jobs Equity / stock options | 4 jobs Parental leave | 4 jobs Startup environment | 4 jobs Conferences | 4 jobs Gear | 2 jobs Fitness / gym | 2 jobs Wellness | 1 jobs Flat hierarchy | 1 jobs Travel | 1 jobs Signing bonus | 1 jobs

Salary Composition

In the United States, the salary composition for a mid-level/intermediate Python Developer in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is composed of a fixed base salary, which constitutes the majority of the total compensation. This base salary can range from 70% to 90% of the total package. Bonuses, which can be performance-based or company-wide, often make up 5% to 15% of the total compensation. Additional remuneration may include stock options, especially in tech companies or startups, and other benefits such as health insurance, retirement contributions, and paid time off. In tech hubs like Silicon Valley or New York City, the base salary might be higher, but the cost of living is also elevated. Conversely, in smaller markets, the base salary might be lower, but the overall cost of living is more manageable.

Increasing Salary

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

• 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 a 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 roles that involve team leadership or project management, as these often come with higher pay.
• Switching Companies: Sometimes, moving to a new company can result in a significant salary increase, especially if you have gained valuable experience and skills.

Educational Requirements

Most mid-level/intermediate Python Developer roles 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, especially for roles that involve complex data analysis or algorithm development. A strong foundation in mathematics and statistics is crucial, as these are the backbone of machine learning and data science.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable certifications include:

• 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, a mid-level/intermediate position requires 3 to 5 years of experience in software development, with a significant portion of that time spent working with Python. Experience in data analysis, machine learning model development, and deployment is often expected. Familiarity with data manipulation libraries like Pandas, NumPy, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn is essential. Experience with cloud platforms like AWS, Azure, or Google Cloud can also be beneficial.

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