Full Stack Developer Salary in United States during 2024

Salary details

The average Full Stack Developer salary lies between USD 96,000 and USD 154,000 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 Full Stack Developer roles

The three most common job tag items assiciated with Full Stack Developer job listings are Python, Engineering and React. 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 | 216 jobs Engineering | 175 jobs React | 154 jobs APIs | 149 jobs Machine Learning | 146 jobs Architecture | 138 jobs Agile | 135 jobs JavaScript | 114 jobs Java | 114 jobs Computer Science | 113 jobs AWS | 105 jobs Azure | 104 jobs Security | 101 jobs SQL | 99 jobs Testing | 91 jobs Angular | 88 jobs Docker | 87 jobs Node.js | 85 jobs CI/CD | 79 jobs Git | 78 jobs

Top 20 Job Perks/Benefits for Full Stack Developer roles

The three most common job benefits and perks assiciated with 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 | 190 jobs Flex hours | 84 jobs Health care | 65 jobs Startup environment | 57 jobs Team events | 44 jobs Insurance | 34 jobs Flex vacation | 30 jobs Competitive pay | 28 jobs Parental leave | 26 jobs Equity / stock options | 23 jobs Medical leave | 23 jobs Salary bonus | 21 jobs 401(k) matching | 18 jobs Wellness | 14 jobs Flexible spending account | 11 jobs Fitness / gym | 8 jobs Relocation support | 6 jobs Transparency | 3 jobs Gear | 2 jobs Conferences | 2 jobs

Salary Composition

In the United States, the salary composition for a Full Stack Developer specializing in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components: base salary, bonuses, and additional remuneration such as stock options or benefits.

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

• Bonuses: These can be performance-based or company-wide bonuses. Performance bonuses are often tied to individual or team achievements, while company-wide bonuses depend on the overall success of the company.

• Additional Remuneration: This includes stock options, profit-sharing, health benefits, retirement plans, and other perks. Larger tech companies or startups might offer significant stock options as part of the compensation package, which can be lucrative if the company performs well.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or tools can make you more valuable.

• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities.

• Leadership Roles: Transitioning into a leadership or managerial role can significantly increase your earning potential.

• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.

• Industry Change: Some industries, like finance or healthcare, may offer higher salaries for AI/ML expertise compared to others.

Educational Requirements

Most Full Stack Developer roles in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, engineering, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for roles that involve complex data analysis or machine learning model development.

Helpful Certifications

While not always required, certain certifications can enhance your resume and demonstrate your expertise:

• Certified Machine Learning Professional (CMLP)
• AWS Certified Machine Learning – Specialty
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate

These certifications can validate your skills and knowledge in specific tools and platforms, making you more attractive to potential employers.

Experience Requirements

Typically, employers look for candidates with 3-5 years of experience in software development, with a focus on full-stack development. Experience in AI/ML projects, data analysis, and working with large datasets is highly valued. Demonstrating a track record of successful project delivery and problem-solving in a team environment can also be crucial.

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