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Junior Python Programmer Jobs in Clayton, CA (NOW HIRING)

DigitalT3

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Senior GenAI Engineer (Python)

San Francisco, CA · On-site

$170K - $200K/yr

Guide and support junior developers to foster technical growth within the team. * Innovation : Stay ahead of emerging trends in AI and GenAI to continuously elevate our technical capabilities.

OpenReq

SuperDial - FDE

San Francisco, CA · On-site

$130K - $160K/yr

Help shape engineering best practices, mentoring junior developers as we grow About You: * 2+ years of backend engineering experience, with deep Python expertise * Strong background in building and ...

Perficientcorp Inc

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Mentor and guide junior data engineers and enforce engineering excellence Required Skills ... Advanced Python programming for data engineering * Strong expertise in data modeling (star ...

M

Junior DevOps Engineer

San Francisco, CA · On-site +1

$62.25 - $85/hr

Junior DevOps Engineer Company Overview: M & D Mechanical Contractors is a leading mechanical ... Bash, Python, or Ruby - Familiarity with automation tools such as Ansible, Puppet, or Chef ...

Vagaro

Jr. AI Engineer

Pleasanton, CA · On-site

$110K - $140K/yr

We are seeking a motivated Jr. AI Engineer to join our growing AI team. The ideal candidate is ... Proficiency in Python * Some experience with public cloud platforms (AWS, GCP or Azure) and ...

Vagaro

Jr. AI Engineer

Pleasanton, CA · On-site

$110K - $140K/yr

We are seeking a motivated Jr. AI Engineer to join our growing AI team. The ideal candidate is ... Proficiency in Python * Some experience with public cloud platforms (AWS, GCP or Azure) and ...

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Junior Python Programmer information

See Clayton, CA salary details

$8

$29

$51

How much do junior python programmer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for junior python programmer in Clayton, CA is $29.05, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $35.72 per hour, depending on experience, location, and employer.

What types of projects do junior Python programmers typically work on, and how do they collaborate with senior developers?

Junior Python Programmers often contribute to a variety of projects, such as developing scripts for data processing, building and maintaining web applications, and automating routine tasks. They usually work under the guidance of senior developers, receiving code reviews and feedback to refine their programming skills. Collaboration involves participating in team meetings, using version control systems like Git, and communicating regularly with other team members to ensure alignment on project goals and coding standards. This structure not only helps improve technical abilities but also provides valuable mentorship and growth opportunities.

What does a junior Python programmer do?

A Junior Python Programmer is an entry-level software developer who uses the Python programming language to write, test, and debug code for various applications. They often work under the guidance of more experienced developers, assisting with tasks such as developing scripts, automating processes, and helping maintain existing codebases. Their responsibilities also typically include troubleshooting issues, learning new frameworks or libraries, and collaborating with team members on software projects.

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

To thrive as a Junior Python Programmer, you need a solid understanding of Python programming fundamentals, basic software development principles, and a relevant degree or coursework in computer science or a related field. Familiarity with version control systems like Git, experience in using IDEs such as PyCharm or VS Code, and knowledge of testing frameworks are typically expected. Strong problem-solving skills, eagerness to learn, and effective communication make a candidate stand out in this role. These skills and qualities are crucial for contributing to projects, adapting to new technologies, and collaborating efficiently within development teams.

What is the difference between Junior Python Programmer vs Python Developer?

AspectJunior Python ProgrammerPython Developer
Required CredentialsBasic programming knowledge, often a degree or coding bootcampAdvanced Python skills, experience, possibly certifications
Work EnvironmentEntry-level projects, supervised tasksDesign, develop, and maintain complex applications
Employer & Industry UsageStartups, tech companies, internshipsEstablished companies, software firms, tech industry
Search & Comparison IntentEntry-level roles, learning pathAdvanced roles, career progression

The main difference between a Junior Python Programmer and a Python Developer lies in experience and responsibilities. Junior Python Programmers typically handle basic coding tasks under supervision, while Python Developers work on complex projects independently. Both roles require Python knowledge, but the level of expertise and scope of work differ significantly.

What cities near Clayton, CA are hiring for Junior Python Programmer jobs? Cities near Clayton, CA with the most Junior Python Programmer job openings:
Junior Python Programmer jobs near you
Infographic showing various Junior Python Programmer job openings in Clayton, CA as of August 2026, with employment types broken down into 2% Internship, 84% Full Time, 6% Part Time, and 8% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $60,414 per year, or $29 per hour.

Python Software Engineer (Jr-Mid Level)

Stellar IT Group

Fremont, CA • On-site

Full-time

Posted 14 days ago

Job description

Overview:
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 mid-level Python Software Engineer (3-5 years experience) to design, build, and optimize data-intensive applications and machine learning solutions. The ideal candidate will come from fast-paced technology companies (Amazon, Google, Microsoft, PayPal, Uber, Airbnb, Doordash, Expedia, etc.) and have a concise resume highlighting hands-on coding contributions, debugging, troubleshooting, and distributed systems experience.
This role requires strong engineering fundamentals, recent hands-on development, and the ability to clearly articulate technical contributions.
Responsibilities
  • Design, develop, and deploy LLM-powered and AI-driven applications.
  • Build scalable, high-performance 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 cross-functional teams to identify opportunities for automation and optimization.
  • Own production systems: monitoring, troubleshooting, and continuous improvement.
  • Translate ambiguous business requirements into end-to-end technical solutions.
  • Write clean, maintainable, and reusable code following agile practices.
Must-Have Requirements
  • 3-5 years of professional software engineering experience.
  • Bachelor's or Master's in Computer Science, Engineering, or equivalent practical experience.
  • Strong hands-on Python experience for data-intensive and high-performance 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 problem-solving.
Nice-to-Have Qualifications
  • Experience with recommender systems, operations research, or advanced AI/ML solutions.
  • Building and supporting enterprise-scale 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.

Skills:
Python,machine learning,llm

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