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Backend Python Jobs in California (NOW HIRING)

Job Title - Python Backend Engineer Job Location - San Jose, CA (On-Site) Duration - 12 Months Experience level - L3 Mandatory Skills - Python Backend Engineer - We are looking for a Python Backend ...

The Python Backend Developer will be responsible for building scalable backend systems and high-performance APIs that power AI-driven platform experiences. * This role involves designing robust ...

We are looking for a Python Backend Engineer to build the backbone of our platform. You will be responsible for creating high-performance APIs, integrating advanced AI agent logic, and ensuring our ...

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Backend Python information

See California salary details

$15.8K

$146.3K

$188.5K

How much do backend python jobs pay per year?

As of Jun 19, 2026, the average yearly pay for backend python in California is $146,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,600.00 and $165,300.00 per year, depending on experience, location, and employer.

What is the salary of a Python backend developer?

The salary of a Python backend developer typically ranges from $70,000 to $130,000 annually, depending on experience, location, and company size. Developers with expertise in frameworks like Django or Flask and knowledge of cloud services may command higher salaries.

What are backend Python developers?

Backend Python developers are software engineers who specialize in building and maintaining the server-side components of web applications using the Python programming language. They focus on databases, application logic, APIs, and integration with front-end systems, ensuring that data is processed and served efficiently. These developers often work with frameworks like Django or Flask and collaborate with frontend developers, DevOps, and other team members to deliver robust and scalable web solutions.

What are the key skills and qualifications needed to thrive as a Backend Python Developer, and why are they important?

To thrive as a Backend Python Developer, you need strong proficiency in Python, knowledge of backend frameworks (like Django or Flask), and experience with databases, typically supported by a degree in computer science or related fields. Familiarity with tools such as Git, RESTful APIs, Docker, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valuable. Problem-solving ability, teamwork, and effective communication are critical soft skills for collaborating with cross-functional teams and troubleshooting issues. These skills and qualifications are crucial for building scalable, reliable backend systems that power modern applications.

What is the difference between Backend Python vs Backend Java?

AspectBackend PythonBackend Java
Required CredentialsBachelor's in CS, Python certificationsBachelor's in CS, Java certifications
Work EnvironmentWeb development, data science, startupsEnterprise applications, large-scale systems
Industry UsageTech startups, data analytics, AIBanking, finance, large corporations
Common Search/ComparisonYesYes

Backend Python and Backend Java are both popular server-side roles but differ in their typical use cases and industry focus. Python is favored for rapid development, data science, and startups, while Java is preferred for large-scale, enterprise applications. Your choice depends on the industry and project requirements.

Which pays more, C++ or Python?

For a Backend Python developer, C++ generally offers higher salaries due to its use in performance-critical applications like systems programming and game development. Python skills are highly in demand for web development and data science, but C++ often commands higher pay in specialized fields. Salary differences can vary based on experience, location, and industry.

What are common challenges faced by Backend Python developers when integrating with third-party APIs?

Backend Python developers often encounter challenges such as inconsistent API documentation, unexpected data formats, and rate limiting when integrating with third-party APIs. These issues require strong debugging skills, careful error handling, and proactive communication with API providers. Additionally, developers must ensure secure authentication, maintain up-to-date dependencies, and write scalable code to handle varying loads. Collaborating closely with frontend teams is also essential to provide seamless end-to-end functionality.

Can I do backend with Python?

Yes, Python is widely used for backend development due to its simplicity and extensive libraries. Backend Python developers often work with frameworks like Django or Flask and need knowledge of databases, APIs, and server management.

Is Python in demand for backend?

Python is highly in demand for backend development due to its simplicity, versatility, and extensive libraries like Django and Flask. Many companies seek backend Python developers for building scalable, efficient web applications and APIs, making it a valuable skill in the job market.
What are the most commonly searched types of Backend Python jobs in California? The most popular types of Backend Python jobs in California are:
What job categories do people searching Backend Python jobs in California look for? The top searched job categories for Backend Python jobs in California are:
What cities in California are hiring for Backend Python jobs? Cities in California with the most Backend Python job openings:
Infographic showing various Backend Python job openings in California as of June 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $146,292 per year, or $70.3 per hour.
Application Developer/Backend Python

Application Developer/Backend Python

Apex Informatics

San Jose, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Title: Python Backend Engineer/Application developer on W2
Location: San Jose, CA (Hybrid)
Duration: long term
Job Description:
Experience:
• 8+ years of professional experience in software development, with a strong emphasis on backend development in Python
• Experience with modern data warehousing technologies (e.g., Big Query, Analytics Hub) and has informed perspectives on their advantages, limitations, and how they fit into evolving data architectures.
• High proficiency and strong skills in Cloud Technologies, object-oriented, and familiarity with AWS Lambda, Dynamo DB, GCP Dataflow, Pub-sub, Analytics Hub, and hands-on Typescript experience is a plus.
Top 3 Skills:
Python Development - • Advanced proficiency in Python for building scalable, reliable, and high-performance backend systems.
Cloud Platforms (GCP or Equivalent) - • Strong experience designing, deploying, and managing applications on Google Cloud Platform (GCP) or similar cloud environments (AWS, Azure).
Big Data Technologies - • Hands-on expertise with big data frameworks and tools (e.g., Hadoop, Spark, Beam, or equivalent) for processing and analyzing large-scale datasets