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Python Jobs in San Gabriel, CA (NOW HIRING)

Python Test Automation Engineer

Los Angeles, CA · On-site

$49.50 - $65.50/hr

... UNIX/Python-based tools for debugging, analysis, and automation across complex, multi-layered system environments Manage software version control processes using Git to ensure code integrity ...

Mason & Los Angels Technical Skills: • Advanced Python development for ML/AI workloads • End-to-end ML lifecycle: model training, evaluation, fine-tuning, and labeling/tagging workflows • ...

Cloud DevSecOps Engineer

Hawthorne, CA · On-site

$140K - $220K/yr

Manage and orchestrate containerized Python package applications using Docker (Swarm and/or Compose) and Kubernetes * Collaborate with development teams to optimize application deployment and ...

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How much do python jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for python in San Gabriel, CA is $60.99, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $69.28 per hour, depending on experience, location, and employer.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve working in environments that emphasize scripting, data processing, or web development.

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

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What jobs can I get in Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity analyst. These jobs often require knowledge of frameworks like Django or Flask, data analysis libraries such as Pandas, and proficiency in scripting and problem-solving. Python skills are valuable across industries like technology, finance, healthcare, and research.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What jobs in the US pay 300,000 a year?

In the US, high-paying roles for Python developers typically include senior software engineers, data scientists, machine learning engineers, and technical leads, especially in finance, technology, and consulting firms. These positions often require advanced skills, extensive experience, and sometimes specialized certifications, with salaries reaching or exceeding $300,000 annually in competitive markets.

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

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What Is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

What cities near San Gabriel, CA are hiring for Python jobs? Cities near San Gabriel, CA with the most Python job openings:

Senior Python Data Scientist

Prophecy Technologies

Los Angeles, CA • On-site

Full-time

Posted yesterday


Job description

Role Overview:
The Data Science Engineer will develop scalable ML and Generative AI solutions, specializing in model training, document processing pipelines, and vector search implementations. Strong Python expertise and experience across modern ML and GenAI workflows are essential.
Key Responsibilities:
  • Develop and deploy Machine Learning and Generative AI solutions using Python
  • Design and refine prompt engineering strategies for LLM applications
  • Build document extraction, parsing, and chunking pipelines
  • Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
  • Implement embedding generation and vector search solutions
  • Integrate ML models with vector databases and MongoDB
  • Ensure code quality, scalability, and production readiness

Required Skills:
  • Expert-level proficiency in Python
  • Strong experience with model training, evaluation, and tagging workflows
  • Hands-on experience with document extraction and chunking techniques
  • Solid understanding of ML algorithms and Generative AI concepts
  • Experience with vector databases and/or MongoDB

Qualifications:
  • 8-10 years of experience