Backend Engineer Python information
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$31.9K - $47.8K
0% of jobs
$47.8K - $63.7K
0% of jobs
$63.7K - $79.6K
0% of jobs
$79.6K - $95.5K
3% of jobs
$95.5K - $111.5K
1% of jobs
$111.5K - $127.4K
2% of jobs
$127.4K - $143.3K
8% of jobs
$145K is the 25th percentile. Wages below this are outliers.
$143.3K - $159.2K
38% of jobs
$168K is the 75th percentile. Wages above this are outliers.
$159.2K - $175.1K
30% of jobs
$175.1K - $191K
11% of jobs
How much do backend engineer python jobs pay per year?
As of Aug 18, 2026, the average yearly pay for backend engineer python in the United States is $148,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,500.00 and $167,500.00 per year, depending on experience, location, and employer.
A Backend Engineer Python designs, builds, and maintains the server-side logic, databases, and APIs of software applications using the Python programming language. They ensure that the backend of websites or applications is robust, scalable, and secure, often working with frameworks like Django or Flask. Their work enables the frontend, or user-facing part, of an application to interact seamlessly with data and services. Backend Python engineers also optimize performance, troubleshoot issues, and collaborate with other developers to deliver high-quality software solutions.
To thrive as a Backend Engineer (Python), you need strong programming skills in Python, a solid understanding of algorithms, data structures, and experience with server-side frameworks, usually supported by a degree in computer science or related fields. Familiarity with tools like Django or Flask, RESTful API development, version control systems like Git, and cloud services such as AWS or Azure is typically required. Problem-solving abilities, effective communication, and teamwork are essential soft skills that enhance collaboration and project delivery. These skills and qualities are crucial to building reliable, scalable backend systems that meet business needs and integrate seamlessly with other technologies.
Backend Engineers using Python often face challenges related to optimizing code for scalability and speed, especially as applications grow in complexity and user base. Issues like managing database queries efficiently, handling concurrency, and minimizing memory usage are common. Engineers may also need to select appropriate frameworks and tools, implement effective caching strategies, and profile bottlenecks to ensure robust performance. Regular collaboration with frontend developers and DevOps teams is crucial to identify and resolve performance issues throughout the development lifecycle.
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