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

Salary details

The average mid-level / intermediate Full Stack Developer salary lies between USD 91,997 and USD 150,000 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: Dec. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Full Stack Developer roles

The three most common job tag items assiciated with mid-level / intermediate Full Stack Developer job listings are Python, Engineering and APIs. 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 | 50 jobs Engineering | 42 jobs APIs | 35 jobs Computer Science | 35 jobs JavaScript | 33 jobs Agile | 31 jobs React | 31 jobs Machine Learning | 30 jobs Git | 30 jobs SQL | 28 jobs Architecture | 26 jobs Java | 26 jobs Security | 24 jobs AWS | 23 jobs Docker | 23 jobs Testing | 21 jobs PostgreSQL | 20 jobs Node.js | 20 jobs CI/CD | 20 jobs Angular | 19 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Full Stack 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 | 42 jobs Flex hours | 23 jobs Health care | 16 jobs Startup environment | 14 jobs Insurance | 9 jobs Team events | 8 jobs 401(k) matching | 5 jobs Flex vacation | 5 jobs Medical leave | 5 jobs Salary bonus | 5 jobs Equity / stock options | 4 jobs Parental leave | 4 jobs Competitive pay | 4 jobs Flexible spending account | 3 jobs Wellness | 2 jobs Relocation support | 2 jobs Fitness / gym | 1 jobs Conferences | 1 jobs

Salary Composition

In the United States, the salary composition for a mid-level AI/ML/Data Science role can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of:

• Base Salary: This is the fixed annual amount and usually constitutes the largest portion of the total compensation. In tech hubs like San Francisco or New York, the base salary might be higher due to the cost of living and competitive job market.

• Bonus: Many companies offer performance-based bonuses, which can range from 10% to 20% of the base salary. These bonuses are often tied to individual performance, team success, or company profitability.

• Equity or Stock Options: Particularly in tech companies and startups, equity can be a significant part of the compensation package. This provides employees with a stake in the company and can be lucrative if the company performs well.

• Other Benefits: Additional remuneration might include health insurance, retirement contributions, and other perks like wellness programs, tuition reimbursement, or transportation allowances.

Increasing Salary

To increase your salary further from a mid-level position, consider the following strategies:

• Specialize in a Niche Area: Developing expertise in a high-demand niche within AI/ML, such as natural language processing, computer vision, or reinforcement learning, can make you more valuable.

• Pursue Leadership Roles: Transitioning into a lead or managerial role can significantly boost your salary. This might involve managing a team of developers or leading projects.

• Continuous Learning and Upskilling: Stay updated with the latest technologies and methodologies in AI/ML. Online courses, workshops, and conferences can help you acquire new skills.

• Network and Build Industry Connections: Engaging with professionals in your field can open up opportunities for higher-paying roles. Attend industry events and participate in online forums.

Educational Requirements

Most mid-level AI/ML/Data Science positions require at least a bachelor's degree in a related field such as computer science, data science, mathematics, or engineering. However, a master's degree or Ph.D. can be advantageous and sometimes preferred, especially for roles that involve complex problem-solving and research.

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

These certifications can validate your skills and knowledge in specific tools and platforms used in AI/ML.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in software development, with a significant portion of that time spent working on AI/ML projects. Experience with full-stack development is beneficial, as it demonstrates your ability to handle both front-end and back-end tasks.

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