Backend Engineer Salary in 2024
💰 The median Backend Engineer Salary in 2024 is USD 180,000
✏️ This salary info is based on 131 individual salaries reported during 2024
Salary details
The average Backend Engineer salary lies between USD 140,000 and USD 218,400 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.
- Job title
- Backend Engineer
- Experience
- all levels
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 131
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Top 20 Job Tags for Backend Engineer roles
The three most common job tag items assiciated with Backend Engineer 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 | 362 jobs Engineering | 346 jobs Machine Learning | 326 jobs AWS | 230 jobs APIs | 228 jobs Computer Science | 227 jobs Architecture | 221 jobs Kubernetes | 206 jobs Docker | 179 jobs Java | 172 jobs Pipelines | 165 jobs PostgreSQL | 150 jobs Security | 146 jobs Testing | 137 jobs Research | 128 jobs GCP | 122 jobs Kafka | 111 jobs Privacy | 107 jobs LLMs | 105 jobs Agile | 102 jobsTop 20 Job Perks/Benefits for Backend Engineer roles
The three most common job benefits and perks assiciated with 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 | 336 jobs Startup environment | 163 jobs Equity / stock options | 150 jobs Health care | 149 jobs Flex hours | 127 jobs Competitive pay | 119 jobs Flex vacation | 88 jobs Parental leave | 85 jobs Team events | 76 jobs Salary bonus | 66 jobs Insurance | 65 jobs Medical leave | 59 jobs Home office stipend | 46 jobs Wellness | 34 jobs 401(k) matching | 30 jobs Gear | 27 jobs Unlimited paid time off | 26 jobs Transparency | 22 jobs Relocation support | 12 jobs Fitness / gym | 10 jobsSalary Composition
The salary for a Backend Engineer in AI/ML/Data Science typically comprises several components: a fixed base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The composition can vary significantly based on the region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but companies often offer substantial equity packages. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with bonuses or other benefits. Large tech companies and startups often provide competitive packages with a mix of salary, bonuses, and stock options, while smaller companies might focus more on base salary and bonuses.
Increasing Salary
To increase your salary from this position, consider the following steps:
- Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and backend frameworks. Specializing in high-demand areas like deep learning or cloud computing can make you more valuable.
- Leadership Roles: Transitioning into a leadership or managerial role can significantly boost your salary. This might involve leading a team of engineers or managing projects.
- Networking: Building a strong professional network can open up opportunities for higher-paying positions. Attend industry conferences, join professional groups, and engage with the community.
- Negotiation: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.
Educational Requirements
Most positions for a Backend Engineer 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 a deep understanding of machine learning algorithms and data science methodologies. Advanced degrees can also help in securing positions in research-oriented companies or roles that involve complex problem-solving.
Helpful Certifications
While not always mandatory, certain certifications can enhance your profile:
- Certified Machine Learning Professional (CMLP)
- AWS Certified Machine Learning – Specialty
- Google Professional Machine Learning Engineer
- Microsoft Certified: Azure AI Engineer Associate
These certifications demonstrate your expertise in specific tools and platforms, making you more attractive to potential employers.
Experience Requirements
Typically, a Backend Engineer in AI/ML/Data Science is expected to have 3-5 years of experience in software development, with a focus on backend technologies. Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn is often required. Additionally, familiarity with data processing tools and cloud platforms can be crucial. Experience in deploying machine learning models and working with large datasets is also highly valued.
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