ZipRecruiter

Log In

1

Python Engineer Jobs in Cupertino, CA (NOW HIRING)

eTouch Systems

Senior Python Developer

San Jose, CA

$142K - $191K/yr

Senior Python Developer Looking for a passionate Python developer who is excited about joining a team that is execution oriented, fast moving, and running on agile methodology. Direct Client Location ...

Kanak Elite Services Inc

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

Role: Python Developer Locations: Sunnyvale, CA (3 Days Onsite) Project Duration: 06+ Months ... engineer with experience in application development. Thanks & Regards, YOGITA ✉️ Yogita ...

Trinity Technology Solutions

AI Engineer

San Jose, CA · On-site

Extensive experience in Python programming languages along with popular frameworks such as Flask FastAPI etc * Experience with AIML deep learning TensorFlow Python NLP * Excellent understanding of ...

Comtech, LLC

Python Developer

San Jose, CA

$59 - $81.25/hr

Python Developer Location: San Jose, CA * Good Understanding of the threading limitations of Python, and multi-process architecture * Familiarity with event-driven programming in Python * Hands on ...

Intellisoft Technologies

Python Developer

Sunnyvale, CA · On-site

$58.75 - $80.75/hr

Intellisoft Technologies is looking for a Python Developer to join their team. The role requires solid Python experience, proficiency with REST frameworks, and the ability to work in small teams ...

Redolent, Inc.

Python Developer

Sunnyvale, CA · On-site

$60 - $82.50/hr

* Seasoned Python programmer with extensive knowledge in Django ORM framework and cloud technologies ... E is a big plus * Leverage Django ORM capabilities to design models, templates etc. * Analyze ...

Sonsoft Inc

Python Programmer

Redwood City, CA · On-site

Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. we are looking for Python Programmer ...

eTouch Systems

Senior Python Developer

San Jose, CA · On-site

$142K - $191K/yr

Senior Python DeveloperLooking for a passionate Python developer who is excited about joining a team that is execution oriented, fast moving, and running on agile methodology. Direct ClientLocation ...

Eateam

Sr. Python Developer

Palo Alto, CA · On-site

$143K - $192K/yr

Title: Sr. Python Developer Location: Palo Alto CA Duration: Long Term Contract Required Skills :- Python ,Restful API, Django or flask The Skills required to be successful: Experience developing web ...

previous page

Showing results 41-60

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 19, 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:

What are popular job titles related to Python Engineer jobs in Cupertino, CA?

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

What job categories do people searching Python Engineer jobs in Cupertino, CA look for?

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.

Data engineer (Tableau, Python, Snowflake) at Sunnyvale, CA ( 3days Hybrid) _ W2 only

BI-Commercial

Sunnyvale, CA • On-site

Contractor

Re-posted 3 days ago

Job description

Role: Data engineer (Tableau, Python, Snowflake)

Location: Sunnyvale, CA ( 3days Hybrid)

Overview:

We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake. The ideal candidate will excel at collaborating with business users, cross-functional teams, and offshore teams to deliver high-quality data solutions. A solid understanding and experience with Machine learning is a valuable addition.

Key Responsibilities:

•            Design, develop, and manage robust, scalable data pipelines and workflows using Python and Snowflake.

•            Collaborate with business stakeholders to gather and translate requirements into actionable solutions.

•            Partner with cross-functional platform teams and offshore resources to ensure seamless project execution.

•            Build and optimize data models and architecture to support analytics and reporting needs.

•            Monitor and improve data integration processes, ensuring accuracy, reliability, and performance.

•            Explore opportunities to incorporate machine learning solutions into data engineering workflows.

Qualifications:

•            6+ years of experience in data engineering, with a strong focus on Python and Snowflake.

•            Proven ability to work closely with business stakeholders to gather requirements and deliver impactful solutions.

•            Extensive experience working with offshore and cross-functional teams.

•            Excellent communication, problem-solving, and teamwork skills.

•            Experience with machine learning concepts and applications.

•            Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering and machine learning.

•            Knowledge of CI/CD pipelines for data and ML workflows.