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Python Engineer Jobs in San Mateo, CA (NOW HIRING)

Saigepartners

Python Software Engineer

San Jose, CA · On-site

$69 - $96/hr

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 Python development, API integration, and ...

Astra Space Inc

Sr Staff Python Engineer

Alameda, CA · On-site

$160 - $200/hr

As a Sr. Staff Software Engineer on the software team, you will be writing software to automate ... You have strong coding skills, our stack is primarily Python and TypeScript, but we interact with C ...

LangChain, Inc

Python OSS Engineer

San Francisco, CA · On-site

$160K - $240K/yr

About the Team The Python Open Source team maintains and evolves the core LangChain Python ecosystem used by millions of developers worldwide. We focus on building reliable, well-designed ...

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 ...

LangChain

Python OSS Engineer

San Francisco, CA · On-site

The Python OSS Engineer will be responsible for maintaining and improving the LangChain Python package, enhancing core abstractions, documentation, and community support. Responsibilities : • ...

Innova Solutions, Inc

Python AI Engineer

San Francisco, CA · On-site

$75 - $80/hr

A client of Innova Solutions is immediately hiring for a Sr. Python AI Engineer Position type: Contract (12+ months) Location: Concord, CA Hybrid Onsite (3 days onsite, 2 days remote in a week) As a ...

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Showing results 21-40

All JobsPython Engineer JobsPython Engineer Jobs in San Mateo, CA

Python Engineer information

See San Mateo, CA salary details

$26.2K

$159.4K

$230.6K

How much do python engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for python engineer in San Mateo, CA is $159,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,900.00 and $187,400.00 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.
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The top searched job categories for Python Engineer jobs in San Mateo, CA are:

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

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

Python Engineer jobs near you
Infographic showing various Python Engineer job openings in San Mateo, CA as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $159,427 per year, or $76.6 per hour.

Senior ML Operations Engineer - Python

Texas State Library and Archives Commision

Oakland, CA • On-site

Full-time

Re-posted 22 days ago

Job description

Job Description:
We are seeking three knowledgeable Senior Python/ML Operations Engineers with advanced Python and Flask, Large Language Models, Open API engineering, Containerization and Swagger expertise for a multi-year engagement to work with a foremost Healthcare IT Solutions Group in their Innovations Project Team.
Prerequisites for the selection of the Consultants encompass:
  • Advanced Python programming for back-end development for Machine Learning Operations.
  • Expertise with OpenAPI specs.
  • Conversant with LLMs, specifically Llama 2 or Mistral.
  • Familiarity with Prompt Engineering.
  • Required to productionize Large Language Model (LLM) based solutions.
  • Capable of taking an open-source Large Language Model (LLM) and fine tuning it to reflect custom data and retrieve data from a Vector database.
  • Will be required to design a RESTful API that interfaces with a Large Language Model (LLM) and can be used for user consumption.
  • Write Helm charts and the web front end.
  • Must be skilled in modularizing machine learning code.
  • Will transform Data Scientists' models into scalable, maintainable systems.
  • Integrate the APIs with MongoDB (Reddis, Vector, databases, embedding models).
  • Should have expertise in deploying and managing containerized applications using Kubernetes.
  • Ability to take an open-source hugging face model and productionalize it so that user can use it on custom data.
  • Plan the builds with Swagger CodeGen, Editor and Inspector.
  • Experience with Jupyter notebooks, Flask, FastAPI, and on premises Docker and Kubernetes.
  • Angular and Node are also utilized in this environment.
  • Document plan and steps for development.

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