Salary for Mid-level / Intermediate Software Developer during 2024

Salary details

The average mid-level / intermediate Software Developer salary lies between USD 74,800 and USD 151,800 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 Software Developer roles

The three most common job tag items assiciated with mid-level / intermediate Software 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 | 147 jobs Engineering | 110 jobs Machine Learning | 107 jobs Computer Science | 98 jobs Architecture | 85 jobs Java | 80 jobs SQL | 79 jobs Agile | 71 jobs Security | 67 jobs JavaScript | 57 jobs Testing | 57 jobs APIs | 57 jobs Docker | 55 jobs AWS | 51 jobs Git | 51 jobs Linux | 49 jobs Research | 49 jobs Kubernetes | 45 jobs React | 45 jobs Azure | 43 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Software Developer job listings are Career development, Health care and Flex hours. 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 | 128 jobs Health care | 58 jobs Flex hours | 56 jobs Insurance | 46 jobs Equity / stock options | 35 jobs Competitive pay | 34 jobs Startup environment | 26 jobs Medical leave | 24 jobs Flex vacation | 22 jobs Team events | 21 jobs Salary bonus | 19 jobs Parental leave | 18 jobs 401(k) matching | 16 jobs Flexible spending account | 10 jobs Wellness | 9 jobs Relocation support | 6 jobs Unlimited paid time off | 5 jobs Gear | 4 jobs Home office stipend | 2 jobs Lunch / meals | 1 jobs

Salary Composition

The salary for a mid-level AI/ML/Data Science role typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but companies often offer stock options as part of the compensation package. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with higher bonuses or benefits. Industries such as finance or healthcare might offer higher bonuses due to the critical nature of data-driven decisions in these fields. Larger companies often provide more comprehensive benefits packages, including health insurance, retirement plans, and professional development opportunities.

Increasing Salary

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

• 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 Ph.D. in a related field can open doors to higher-paying roles.
• Leadership Roles: Transitioning into a team lead or managerial position can significantly boost your salary.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements

Most mid-level AI/ML/Data Science positions 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 due to the advanced knowledge and skills acquired during graduate studies. A strong foundation in programming, data structures, algorithms, and statistical analysis is essential.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• 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 in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in software development, with a focus on AI/ML or data science projects. Experience in handling real-world data, building machine learning models, and deploying them in production environments is crucial. Familiarity with popular programming languages like Python, R, or Java, and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, are often expected.

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