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Python Engineer Jobs in Cupertino, CA (NOW HIRING)

Resource Logistics Inc.

Python Engineer

San Jose, CA · On-site

Resource Logistics Inc. is seeking a Python Engineer to build the backbone of their platform. The role involves creating high-performance APIs, integrating advanced AI agent logic, and ensuring ...

Nastech Global

Python Django Developer

San Jose, CA · On-site

San Jose, CA(Onsite) Job Type: Full Time Must Have Technical/Functional Skills Python Engineer must be able to work on federal engagements. 10+ years of software engineering experience with 5+ years ...

Saige Partners

Python Software Engineer

San Jose, CA · On-site

$50 - $70/hr

Python Software Engineer (San Jose, CA) Job Overview: We are seeking a Software Engineer to help build and deploy production applications powered by agentic AI This role will focus primarily on ...

1 point system

Python QA Engineer

Fremont, CA · On-site

Programming Fundamentals: * Strong language‑agnostic coding skills * Ability to think logically, write algorithms, translate logic into code * Languages: * Python (mandatory) * Strong OOP language ...

Glow Networks

Python Developer

Mountain View, CA · On-site

$59.25 - $81.75/hr

We are seeking 3 skilled Python Developers. The Python Developer will be responsible for writing and testing code, debugging programs, and integrating applications. **Qualifications:** - Bachelor ...

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All JobsPython Engineer JobsPython Engineer Jobs in Cupertino, CA

Python Engineer information

See Cupertino, CA salary details

$28.4K

$172.7K

$249.8K

How much do python engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for python engineer in Cupertino, CA is $172,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,300.00 and $203,000.00 per year, depending on experience, location, and employer.

What does a Python engineer do?

A Python Engineer is a software professional who specializes in designing, developing, and maintaining applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, and machine learning. Python Engineers collaborate with other team members to write clean and efficient code, debug issues, and ensure the performance and scalability of applications. Their expertise in Python allows them to leverage its libraries and frameworks to solve complex problems across different industries.

What does a Python engineer do?

As a Python engineer, your job is to use the Python programming language and develop code for your company. Your duties include creating a new application, integrating Python software with an existing system, or testing existing code to iron out bugs. Most employers hiring for this role have specific goals for projects in mind, and it is your job to turn those goals into reality in the most effective way. You’re also expected to use other programming skills, particularly involving Django, JavaScript, and database architecture.

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

To thrive as a Python Engineer, you need strong programming skills in Python, a solid understanding of computer science fundamentals, and experience with software development practices, often supported by a relevant degree or certification. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure are typically required. Excellent problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for building scalable, maintainable code and collaborating efficiently within development teams.

How do Python engineers typically collaborate with other team members during the software development lifecycle?

Python Engineers work closely with cross-functional teams, including front-end developers, QA testers, product managers, and DevOps specialists. Collaboration often involves participating in code reviews, daily stand-up meetings, and sprint planning sessions to ensure alignment on project goals and technical requirements. Effective communication and using collaborative tools like Git, Jira, and Slack are essential for managing tasks, sharing updates, and resolving issues efficiently. This teamwork-driven environment helps deliver high-quality software and supports continuous learning from peers.

What is the difference between Python Engineer vs Data Scientist?

AspectPython EngineerData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; Python proficiencyBachelor's or higher in Data Science, Statistics, or related; Python and analytical skills
Work EnvironmentSoftware development teams, coding, testing, deploymentData analysis, modeling, visualization, research
Employer & Industry UsageTech companies, startups, software firmsFinance, healthcare, e-commerce, research institutions
Common Search & ComparisonYesYes

Python Engineers focus on developing and maintaining software applications using Python, while Data Scientists analyze data to extract insights, often using Python for data manipulation and modeling. Both roles require Python skills but serve different primary functions within organizations.

Are Python engineers in demand?

Python engineers are in high demand across various industries such as technology, finance, and data science due to Python's versatility and widespread use in web development, automation, and machine learning. Employers seek professionals with strong programming skills, experience with frameworks like Django or Flask, and knowledge of data analysis tools, making Python engineering a strong career choice with robust job opportunities.

How much does a Python engineer make?

A Python engineer's salary varies based on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually in the United States. Senior Python developers with specialized skills in frameworks, data analysis, or machine learning can earn higher salaries, especially in tech hubs or companies requiring advanced expertise.
More about Python Engineer jobs

What are the most commonly searched types of Python Engineer jobs in Cupertino, CA?

The most popular types of Python Engineer jobs in Cupertino, CA are:

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For Python Engineer jobs in Cupertino, CA, the most frequently searched job titles are:

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The top searched job categories for Python Engineer jobs in Cupertino, CA are:

What cities near Cupertino, CA are hiring for Python Engineer jobs?

Cities near Cupertino, CA with the most Python Engineer job openings:

Python Engineer jobs near you
Infographic showing various Python Engineer job openings in Cupertino, CA as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $172,688 per year, or $83 per hour.

Python Engineer

Resource Logistics Inc.

San Jose, CA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Resource Logistics Inc. is seeking a Python Engineer to build the backbone of their platform. The role involves creating high-performance APIs, integrating advanced AI agent logic, and ensuring robust infrastructure as the company scales.
Responsibilities:
• Scalable API Development: Design, build, and maintain robust, high-throughput APIs (FastAPI, Django, or Flask) capable of handling millions of requests.
• Agent Logic Integration: Clienthitect the backend systems that power our AI agents, managing long-running tasks, state persistence, and seamless communication between LLMs and our core services.
• Authentication & Security: Implement and manage secure identity protocols (OAuth2, JWT, OpenID Connect) to protect user data and internal endpoints.
• Routing & Orchestration: Design efficient request routing and service communication patterns using tools like API Gateways, or Service Meshes.
Qualifications:
Required:
• Expert-level proficiency in Python
• Deep experience with FastAPI, Django
• Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB)
• Proficiency with Docker, AWS/GCP, and asynchronous task queues
• Implement and manage secure identity protocols (OAuth2, JWT, OpenID Connect)
• Design efficient request routing and service communication patterns using tools like API Gateways, or Service Meshes
Preferred:
• Python 3.10+ preferred
• Familiarity with LangChain, Llama Index, or similar frameworks for agentic workflows
• Experience with Vector Databases (Pinecone, Weaviate)
Company:
Resource Logistics is an information technology company providing ERP, CRM implementation, software solutions, and staffing services. Founded in 1997, the company is headquartered in East Brunswick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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