Salary for Senior-level / Expert Full Stack Developer in United States during 2024

Salary details

The average senior-level / expert Full Stack Developer salary lies between USD 105,301 and USD 163,700 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. 1, 2024

Top 20 Job Tags for Senior-level / Expert Full Stack Developer roles

The three most common job tag items assiciated with senior-level / expert Full Stack Developer job listings are Python, React 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 | 129 jobs React | 106 jobs Engineering | 105 jobs Architecture | 94 jobs APIs | 93 jobs Machine Learning | 88 jobs Agile | 85 jobs Azure | 73 jobs Java | 67 jobs AWS | 64 jobs Security | 61 jobs JavaScript | 59 jobs Testing | 56 jobs TypeScript | 54 jobs Computer Science | 53 jobs Angular | 52 jobs Node.js | 51 jobs SQL | 48 jobs CI/CD | 47 jobs LLMs | 44 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Full Stack Developer roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 118 jobs Flex hours | 46 jobs Health care | 39 jobs Startup environment | 35 jobs Team events | 35 jobs Flex vacation | 22 jobs Competitive pay | 22 jobs Insurance | 21 jobs Parental leave | 19 jobs Equity / stock options | 17 jobs Medical leave | 15 jobs Salary bonus | 15 jobs Wellness | 12 jobs 401(k) matching | 11 jobs Fitness / gym | 7 jobs Flexible spending account | 7 jobs Transparency | 3 jobs Yoga | 2 jobs Lunch / meals | 1 jobs Gear | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Full Stack Developer 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 package. 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.

• Bonuses: These can be performance-based or company-wide bonuses. Performance bonuses are tied to individual or team achievements, while company-wide bonuses depend on the overall success of the company. Bonuses can range from 10% to 20% of the base salary.

• Additional Remuneration: This includes stock options, profit sharing, and other benefits like health insurance, retirement plans, and paid time off. Startups might offer more in stock options, while larger companies might provide more comprehensive benefits packages.

Increasing Salary

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

• Specialize in Niche Areas: Developing expertise in niche areas of AI/ML, such as natural language processing or computer vision, can make you more valuable.

• Leadership Roles: Transitioning into leadership or managerial roles can significantly increase your earning potential. This might involve leading a team of developers or managing projects.

• Continuous Learning: Stay updated with the latest technologies and trends in AI/ML. This could involve taking advanced courses or attending industry conferences.

• Networking: Building a strong professional network can open up opportunities for higher-paying positions or consulting roles.

Educational Requirements

Most positions for a Senior-level or Expert Full Stack Developer in AI/ML/Data Science require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, a master's degree or Ph.D. can be advantageous, especially for roles that require deep technical expertise or research capabilities.

Helpful Certifications

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

• 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 platforms or technologies.

Required Experience

Typically, a Senior-level or Expert Full Stack Developer in AI/ML/Data Science is expected to have at least 5-10 years of experience in software development, with a significant portion of that time spent working on AI/ML projects. Experience in full stack development, including both front-end and back-end technologies, is crucial. Additionally, experience with data science tools and frameworks, such as TensorFlow, PyTorch, or Scikit-learn, is often required.

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