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Backend Python Jobs in California (NOW HIRING)

Cynet Systems

Python Backend Developer

San Jose, CA

$60 - $65/hr

Python Backend Developer Job Location: San Jose, CA Job Type: Contract Job Overview: Pay Range: $60hr - $65hr * The Python Backend Developer will be responsible for building scalable backend systems ...

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CYNET SYSTEMS

Python Backend Developer

San Jose, CA · On-site

$60 - $65/hr

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 ...

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Kanak Elite Services Inc

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

Looking for a backend Python Developer, it's a regular application development skill needed. * This team is developing the services which interact over web sockets with the system. So they have the ...

Kanak Elite Services Inc

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

Looking for a backend Python Developer, it's a regular application development skill needed. * This team is developing the services which interact over web sockets with the system. So they have the ...

Quest Global

Backend Engineer - Data

Cupertino, CA · On-site

$100K - $115K/yr

Software Engineer (Backend Engineer- Python) Who We Are: Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By ...

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See California salary details

$15.8K

$146.3K

$188.5K

How much do backend python jobs pay per year?

As of May 29, 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 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 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.

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 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.

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 are popular job titles related to Backend Python jobs in California? For Backend Python jobs in California, the most frequently searched job titles 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:
Backend Python jobs near you
Application Developer/Backend Python

Application Developer/Backend Python

Apex Informatics

San Jose, CA • On-site

Full-time

Posted 21 days ago

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

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