Salary for Mid-level / Intermediate Backend Engineer during 2024

Salary details

The average mid-level / intermediate Backend Engineer salary lies between USD 140,000 and USD 180,960 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: Dec. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Backend Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Backend Engineer job listings are Python, Machine Learning 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 | 68 jobs Machine Learning | 55 jobs Engineering | 52 jobs AWS | 49 jobs Computer Science | 43 jobs APIs | 38 jobs Docker | 35 jobs Architecture | 34 jobs Security | 33 jobs Kubernetes | 31 jobs PostgreSQL | 28 jobs Pipelines | 28 jobs Kafka | 26 jobs Java | 26 jobs GCP | 25 jobs SQL | 21 jobs Agile | 21 jobs Azure | 18 jobs Testing | 17 jobs Microservices | 16 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Backend Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Backend Engineer job listings are Career development, Startup environment and Equity / stock options. 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 | 59 jobs Startup environment | 30 jobs Equity / stock options | 27 jobs Competitive pay | 25 jobs Flex hours | 24 jobs Health care | 20 jobs Flex vacation | 17 jobs Parental leave | 16 jobs Medical leave | 12 jobs Salary bonus | 10 jobs Home office stipend | 9 jobs 401(k) matching | 6 jobs Gear | 6 jobs Transparency | 6 jobs Team events | 6 jobs Insurance | 6 jobs Wellness | 3 jobs Relocation support | 3 jobs Pet friendly | 3 jobs Unlimited paid time off | 3 jobs

Salary Composition

The salary for a mid-level/intermediate backend engineer in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is the fixed component and usually forms the bulk of the total compensation package. Bonuses can be performance-based or company-wide, and they vary significantly depending on the company's financial health and individual performance. In regions like Silicon Valley, equity or stock options are common, providing long-term incentives aligned with the company's success. In contrast, smaller companies or those outside major tech hubs might offer higher base salaries to attract talent, compensating for the lack of equity options.

Increasing Salary

To increase your salary from this position, consider specializing in high-demand areas within AI/ML, such as deep learning, natural language processing, or computer vision. Gaining expertise in these areas can make you more valuable to employers. Additionally, pursuing leadership roles or transitioning into a senior engineer or technical lead position can significantly boost your earning potential. Networking within the industry and staying updated with the latest trends and technologies can also open up opportunities for higher-paying roles.

Educational Requirements

Most mid-level backend engineering roles 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 involve complex algorithm development or research. Employers often look for candidates with a strong foundation in programming, data structures, algorithms, and statistics.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile. Certifications like the Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, or Microsoft Certified: Azure AI Engineer Associate can demonstrate your expertise in specific platforms and tools. These certifications can be particularly beneficial if you're looking to work with cloud-based AI/ML solutions.

Required Experience

Typically, a mid-level backend engineer in AI/ML/Data Science is expected to have 3-5 years of relevant experience. This experience should include hands-on work with programming languages such as Python, Java, or C++, and familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with data processing tools and cloud platforms is also highly valued.

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