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Python Developer Google Jobs in California (NOW HIRING)

Senior Python Engineer

Ontario, CA · On-site +1

$123K - $166K/yr

Our mission is to increase developer adoption, satisfaction and retention by providing a reliable ... Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75 ...

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Python Developer Google information

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How much do python developer google jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for python developer google in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

Why did Google remove Python developers?

Google has not removed Python developers; in fact, Python remains a key programming language used at Google for various projects, including machine learning, automation, and backend services. The company continues to hire Python developers with skills in frameworks, libraries, and cloud environments, reflecting ongoing demand for Python expertise in its technical teams.

What is the salary of Python developer in Google company?

The average salary for a Python developer at Google ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in machine learning or cloud computing may earn higher compensation, often including bonuses and stock options.

What types of projects and teams do Python Developers typically work with at Google?

Python Developers at Google commonly work on diverse projects ranging from data analysis pipelines to backend web services and machine learning infrastructure. They often collaborate with product managers, UX designers, and other engineers to design, develop, and deploy scalable solutions that impact millions of users. Teams are usually cross-functional, agile, and emphasize open communication and knowledge sharing. This collaborative and project-driven environment offers developers the opportunity to learn from peers, contribute to high-impact projects, and grow their technical expertise and career trajectory within Google.

What are the key skills and qualifications needed to thrive in the Python Developer Google position, and why are they important?

To thrive as a Python Developer at Google, you need a strong background in Python programming, computer science fundamentals, and experience with scalable software systems, often supported by a relevant degree or equivalent work experience. Familiarity with development tools like Git, continuous integration platforms, and cloud environments such as Google Cloud Platform is highly valuable. Excellent problem-solving abilities, collaboration skills, and clear communication help you work seamlessly within cross-functional teams and fast-paced environments. These skills are critical for building robust, efficient, and innovative solutions that meet Google's high engineering standards.

What tech jobs pay $400,000 a year?

High-level roles such as senior software engineers, machine learning engineers, and technical leads in tech companies can earn $400,000 or more annually, especially with experience, advanced skills, and stock options. Positions requiring expertise in cloud computing, AI, or executive management often reach this compensation level.

What is a Python Developer Google job?

A Python Developer at Google is responsible for designing, developing, and maintaining software solutions using Python. They work on a variety of projects, including data processing, web development, machine learning, and automation. This role requires strong problem-solving skills, proficiency in Python, and experience with frameworks and tools like Flask, Django, or TensorFlow. Python Developers at Google often collaborate with other engineers, data scientists, and product teams to build scalable and efficient applications.

How to get a job in Google as a Python developer?

To secure a Python developer role at Google, candidates should have strong programming skills in Python, experience with data structures and algorithms, and familiarity with cloud platforms and APIs. Building a solid portfolio, contributing to open-source projects, and preparing for technical interviews with coding challenges are essential steps. Relevant certifications and a good understanding of software engineering best practices can also improve chances.
What are the most commonly searched types of Python Developer Google jobs in California? The most popular types of Python Developer Google jobs in California are:
Infographic showing various Python Developer Google job openings in California as of July 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.
Senior Python Engineer

Senior Python Engineer

MongoDB

Ontario, CA • On-site, Remote

$123K - $166K/yr

Other

Posted 21 days ago


Job description

Our Database Experience (DBX) Team

A great MongoDB experience starts with great tools.

The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users.

Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well.

For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads.

You might be right for this role if you...
  • Have substantial experience writing high-quality software in Python
  • Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks
  • Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus
  • Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work
  • Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time
  • Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements
  • Communicate well, internally and externally, both verbally and in writing
  • Enjoy collaborating with teammates, and mentoring junior engineers and interns
  • Are self-motivated, organized, and have strong time management skills
You'll be on the team responsible for...
  • Developing and supporting the MongoDB Python drivers and subsidiary libraries (PyMongo, Django MongoDB Backend, PyMongoArrow, LangChain MongoDB) and related software, collaborating with peers in our distributed world-wide engineering team
  • Writing and maintaining open source specifications defining common behavior and APIs shared across all of our drivers
  • Investigating bugs and support requests from commercial customers, open source users, and internal users for the libraries our team maintains
  • Working with our Product and Server teams on designs and specifications for new user-facing MongoDB features
Success in this role means...
  • Within one month, you will understand the high-level architecture of the drivers and how MongoDB works, and will have completed a few small bug fixes and/or feature tickets
  • Within three months, you will be contributing effectively day-to-day, fixing bugs, implementing features, investigating and responding to open source user and customer issues, and reviewing your peers' code
  • Within six months, you'll have implemented major, planned new features, contributed to our common driver specifications, shipped a major feature in an open source library, and will be collaborating with the Product team to help craft our roadmap
  • Within twelve months, you'll have significantly improved the quality, performance and maintainability of our codebase, and will be taking the lead in designing and specifying major new features
About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we're powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.

To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273396098