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Python Language Jobs in California (NOW HIRING)

Senior Python Engineer

Ontario, CA · On-site

$123K - $166K/yr

Our senior engineers are typically specialists in a particular programming language, but are ... Have extensive knowledge in Python tools and frameworks, scientific python and web development ...

The Python OSS Engineer will be responsible for maintaining and improving the LangChain Python ... deploying language model agents. Founded in 2022, the company is headquartered in San Francisco ...

Required : • 3+ years of professional experience with the Python programming language. • 2+ years of professional software engineering experience (APIs, services, tooling and automation). • ...

Strong coding fundamentals in at least one modern language such as Python, Go, or Rust * Solid understanding of data structures, algorithms, and distributed systems * Familiarity with REST APIs, SQL ...

Strong coding fundamentals in at least one modern language such as Python, Go, or Rust * Solid understanding of data structures, algorithms, and distributed systems * Familiarity with REST APIs, SQL ...

... least one language and you're excited to learn others. Their engineers have all kinds of ... Python and JavaScript. Need to know Angular and Agile Development. Specific technologies don't ...

... Natural Language Processing, and Generative AI projects. Job requirements: • Python (minimum 2 ... years) • AWS (minimum one year) • SQL (minimum two years) • BS in Computer Science or ...

... Natural Language Processing, and Generative AI projects. Job requirements: ● Python (minimum 2 ... years) ● AWS (minimum one year) ● SQL (minimum two years) ● BS in Computer Science or ...

Showing results 21-40

Python Language information

See California salary details

$13

$57

$85

How much do python language jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python language 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.

What is a Python developer?

Python developers are professionals who specialize in using the Python programming language to build software applications, automate tasks, analyze data, or develop websites. They write, test, and debug code, often working on backend systems, data processing, artificial intelligence, or web development projects. Python developers collaborate with other team members such as designers, analysts, and project managers to deliver effective technology solutions. Their expertise in Python allows them to work across various industries, including finance, healthcare, technology, and education.

What are the key skills and qualifications needed to thrive as a Python developer?

To thrive as a Python Developer, you need strong programming skills in Python, a solid understanding of algorithms and data structures, and often a degree in computer science or related field. Familiarity with frameworks like Django or Flask, experience using Git, and knowledge of database systems are commonly required, with certifications like PCEP or PCAP being advantageous. Problem-solving abilities, attention to detail, and effective teamwork are crucial soft skills that set candidates apart. These competencies are essential for building reliable, scalable software and collaborating efficiently in dynamic development environments.

What are some common challenges Python developers face when working on large-scale projects?

Python Developers working on large-scale projects often encounter challenges related to code maintainability, performance optimization, and effective collaboration. As projects grow, ensuring code readability and modularity becomes essential, requiring the use of best practices such as writing clear documentation and adhering to consistent coding standards. Additionally, Python's interpreted nature can lead to performance bottlenecks, so developers frequently need to profile and optimize critical sections of code. Collaborating with cross-functional teams, such as front-end developers or DevOps engineers, is also common, highlighting the importance of strong communication and version control skills.

What is the difference between Python Language vs Data Analyst?

AspectPython LanguageData Analyst
Required SkillsProgramming, scripting, data manipulationData interpretation, visualization, basic programming
Work EnvironmentSoftware development, data science teamsBusiness, finance, marketing departments
Common UsageBuilding applications, automating tasks, data analysisInterpreting data, creating reports, supporting decision-making

Python Language is a programming tool used for developing applications and automating data tasks, while Data Analysts focus on interpreting data and creating insights. Python skills are often essential for Data Analysts, but their roles differ in scope and focus.

Does Python have good job opportunities?

Python developers have strong job prospects across various industries such as technology, finance, and data science. Proficiency in frameworks like Django or Flask and knowledge of data analysis tools can enhance employability, with many roles requiring experience in version control and problem-solving skills.

Is Python a good career?

Python developers are in high demand across industries such as data science, web development, and automation. The role typically requires strong programming skills, problem-solving ability, and familiarity with frameworks like Django or libraries like Pandas. It offers opportunities for growth, certification, and remote work, making it a solid career choice for many tech professionals.

What careers can you do with Python language?

Python is used in a variety of careers including software development, data analysis, machine learning, web development, automation, and cybersecurity. Professionals often work as developers, data scientists, machine learning engineers, or DevOps specialists, utilizing Python's extensive libraries and frameworks. Strong programming skills and familiarity with tools like Git and cloud platforms enhance job prospects in these fields.

What job categories do people searching Python Language jobs in California look for?

The top searched job categories for Python Language jobs in California are:

What cities in California are hiring for Python Language jobs?

Cities in California with the most Python Language job openings:

Infographic showing various Python Language job openings in California as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Senior Python Engineer

Ontario, CA • On-site

MongoDB
Software Development • 1 - 5K employees

$123K - $166K/yr

Full-time

Re-posted 11 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