Salary for Mid-level / Intermediate Python Developer during 2024

Salary details

The average mid-level / intermediate Python Developer salary lies between USD 95,000 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 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

The salary for a Mid-level/Intermediate Python Developer in AI/ML/Data Science typically consists of a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation. Bonuses can vary significantly depending on the company and industry, often tied to performance metrics or company profitability. In tech hubs like Silicon Valley, companies might offer stock options or equity as part of the compensation package, which can be a significant portion of the total remuneration. In contrast, smaller companies or those in less competitive regions might offer fewer bonuses and benefits. Industries such as finance or healthcare might offer higher bonuses compared to academia or non-profits.

Increasing Salary

To increase your salary from this position, consider gaining specialized skills or certifications in high-demand areas such as deep learning, natural language processing, or big data technologies. Pursuing a master's degree or an MBA can also open up higher-paying roles in management or specialized technical positions. Networking within the industry and attending conferences can lead to opportunities in higher-paying companies or roles. Additionally, gaining experience in leading projects or teams can position you for roles with greater responsibility and compensation.

Educational Requirements

Most mid-level positions in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, many employers prefer candidates with a master's degree, especially for roles that involve complex problem-solving and advanced technical skills. A strong foundation in statistics, linear algebra, and programming is essential, and coursework in machine learning and data analysis is highly beneficial.

Helpful Certifications

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

• TensorFlow Developer Certificate: Validates your ability to build and train machine learning models using TensorFlow.
• AWS Certified Machine Learning – Specialty: Demonstrates expertise in building, training, and deploying machine learning models on the AWS platform.
• Microsoft Certified: Azure AI Engineer Associate: Focuses on using Azure services to build AI solutions.
• Certified Data Scientist (CDS): Offered by various organizations, this certification covers a broad range of data science skills.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in software development, with a focus on Python programming. Experience in data analysis, machine learning model development, and working with data science libraries such as Pandas, NumPy, and Scikit-learn is often required. Experience in deploying models to production and working in cross-functional teams can also be advantageous.

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