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Python Analyst Jobs in California (NOW HIRING)

Senior Python Developer

Palo Alto, CA · On-site

$142K - $192K/yr

As a Senior Python Developer, you will lead the design, development, and deployment of scalable ... Analytical mindset with a strong focus on problem-solving. * Comfortable working in a fast-paced ...

Senior Python Developer

Palo Alto, CA · Hybrid

$142K - $192K/yr

As a Senior Python Developer, you will lead the design, development, and deployment of scalable ... Analytical mindset with a strong focus on problem-solving. * Comfortable working in a fast-paced ...

They are seeking a Sr. Staff Python Engineer to develop software that automates testing and launching rockets, as well as tools for data collection and analysis in the space industry.

Lead Python - Alo Yoga

San Ramon, CA · On-site

$153K - $188K/yr

ShiftCode Analytics, Inc. is seeking a Tech Lead / Staff Engineer to shape backend architecture for ... Required : • Strong backend engineering expertise in Python • Proven experience designing and ...

Showing results 41-60

Python Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do python analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for python analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a Python analyst?

A Python Analyst is a professional who uses Python to analyze data, build models, and automate tasks. They work with large datasets, extract insights, and create reports to support decision-making. Their role often involves data cleaning, visualization, statistical analysis, and scripting for process automation. Python Analysts are commonly found in industries such as finance, healthcare, marketing, and technology. Strong analytical skills, programming expertise, and knowledge of data analysis libraries like Pandas and NumPy are essential for this role.

What are the typical daily responsibilities of a Python analyst?

Python Analysts spend their days gathering, cleaning, and analyzing large datasets to uncover actionable insights for their organizations. They write and maintain Python scripts to automate repetitive tasks and use data visualization tools to present their findings to stakeholders. Collaboration with data scientists, business analysts, and IT team members is common, as analysts work to translate data into meaningful recommendations. You'll also regularly validate data quality, troubleshoot code, and stay current with best practices in data analytics. This role offers a dynamic mix of technical work and cross-functional teamwork.

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

To thrive as a Python Analyst, you need strong proficiency in Python programming, data analysis, and statistical methods, often supported by a degree in computer science, mathematics, or a related field. Experience with data visualization tools, SQL databases, and certifications such as Microsoft Certified: Data Analyst Associate or relevant Python credentials are highly beneficial. Excellent problem-solving skills, attention to detail, and effective communication help set top candidates apart. These skills ensure the accurate analysis and presentation of data, enabling informed decision-making and collaboration within organizations.

What are the most commonly searched types of Python Analyst jobs in California?

The most popular types of Python Analyst jobs in California are:

What cities in California are hiring for Python Analyst jobs?

Cities in California with the most Python Analyst job openings:

Infographic showing various Python Analyst job openings in California as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Python Software Engineer (JrMid Level)

Stellar IT Solutions

Fremont, CA • On-site

Other

Posted 19 days ago


Job description

Python Software Engineer (Jr-Mid Level) 6 months, with potential extension or conversion Fremont, CA 5 days onsite Role Summary

We are seeking a junior to midlevel Python Software Engineer (3-5 years experience) to design, build, and optimize dataintensive applications and machine learning solutions. The ideal candidate will come from fastpaced technology companies (Amazon, Google, Microsoft, PayPal, Uber, Airbnb, Doordash, Expedia, etc.) and have a concise resume highlighting handson coding contributions, debugging, troubleshooting, and distributed systems experience.

This role requires strong engineering fundamentals, recent handson development, and the ability to clearly articulate technical contributions.

Responsibilities
  • Design, develop, and deploy LLMpowered and AIdriven applications.

  • Build scalable, highperformance solutions using Python and modern engineering practices.

  • Develop and maintain REST APIs and microservices supporting critical business operations.

  • Work with diverse data sources (text, voice, image, structured datasets).

  • Collaborate with crossfunctional teams to identify opportunities for automation and optimization.

  • Own production systems: monitoring, troubleshooting, and continuous improvement.

  • Translate ambiguous business requirements into endtoend technical solutions.

  • Write clean, maintainable, and reusable code following agile practices.


MustHave Requirements
  • 3-5 years of professional software engineering experience.

  • Bachelor s or Master s in Computer Science, Engineering, or equivalent practical experience.

  • Strong handson Python experience for dataintensive and highperformance applications.

  • Experience building and deploying production machine learning solutions.

  • Demonstrated work with Large Language Models (LLMs) and Generative AI.

  • Experience developing REST APIs and microservices.

  • Proficiency with MySQL and Redis.

  • Familiarity with at least one deep learning framework (PyTorch, TensorFlow, JAX).

  • Strong fundamentals in statistics, data analysis, model evaluation, and performance optimization.

  • Clear examples of debugging, troubleshooting, and distributed systems problemsolving.


NicetoHave Qualifications
  • Experience with recommender systems, operations research, or advanced AI/ML solutions.

  • Building and supporting enterprisescale ML platforms.

  • Working with large, complex datasets in production environments.

  • Knowledge of C# and ASP.NET (secondary skill).

  • Prior experience automating compliance frameworks and generating audit evidence.