Python Sql Backend Developer information
See salary details
$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 python sql backend developer jobs pay per year?
As of Sep 10, 2026, the average yearly pay for python sql backend developer 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 Python SQL Backend Developer is a software professional who specializes in building and maintaining the server-side logic of applications using Python programming language and SQL databases. Their main responsibilities include designing, developing, and optimizing database queries, creating APIs, and ensuring the efficient flow of data between the backend and other parts of the application. They often work closely with front-end developers, data analysts, and other team members to create robust and scalable systems. This role requires strong programming skills in Python, proficiency in SQL, and a solid understanding of database management and web technologies.
To thrive as a Python SQL Backend Developer, you need strong skills in Python programming, relational database design, and SQL querying, typically backed by a degree in computer science or related experience. Familiarity with frameworks like Django or Flask, version control systems like Git, and experience with database platforms such as PostgreSQL or MySQL are commonly required. Attention to detail, problem-solving abilities, and effective communication are soft skills that distinguish top performers in this role. These competencies ensure robust, scalable, and maintainable backend systems that align with business needs and facilitate seamless collaboration within development teams.
Python SQL Backend Developers often encounter challenges related to query optimization, managing database connections efficiently, and ensuring data integrity under high loads. Balancing the need for fast performance with the complexity of business logic can be tricky, especially when dealing with large datasets or multiple concurrent users. Developers typically need to analyze query execution plans, use indexing judiciously, and work closely with DevOps or DBA teams to monitor and tune database performance. Staying up-to-date with best practices and new features in both Python ORM libraries and database systems is crucial for overcoming these challenges.
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