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Python Coding Internship Jobs in Berkeley, CA (NOW HIRING)

Pronto.ai, Inc.

Robotics Controls Engineer

San Francisco, CA · On-site

$98K - $127K/yr

Write production-quality Python code that runs reliably and efficiently * Travel note: This role ... internship) software development experience * Strong foundation in classical control theory (PID ...

Phonely Ltd

Software Engineer Intern

San Francisco, CA · On-site

Software Engineer Internship This is a high-impact internship where you'll write real code, ship ... Experience with backend development (Python or Node.js) * Familiarity with cloud platforms (AWS ...

Pronto

Robotics Controls Engineer

San Francisco, CA

$182K - $230K/yr

Write production-quality Python code that runs reliably and efficiently * Travel note: This role ... internship) software development experience * Strong foundation in classical control theory (PID ...

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All JobsPython Coding Internship JobsPython Coding Internship Jobs in Berkeley, CA

Python Coding Internship information

See Berkeley, CA salary details

$16

$71

$105

How much do python coding internship jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for python coding internship in Berkeley, CA is $71.78, according to ZipRecruiter salary data. Most workers in this role earn between $59.18 and $81.54 per hour, depending on experience, location, and employer.

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

To thrive as a Python Coding Intern, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and a background in computer science or a related field. Familiarity with version control systems like Git, code editors such as VS Code, and basic knowledge of frameworks like Flask or Django is often expected. Strong communication, eagerness to learn, and teamwork are soft skills that help interns collaborate effectively and adapt quickly. These skills and qualities are crucial for contributing to projects, learning from mentors, and building a foundation for a successful software development career.

What is the difference between Python Coding Internship vs Python Developer?

AspectPython Coding InternshipPython Developer
Required CredentialsTypically pursuing or recently completed a degree in CS or related fieldProfessional experience, often with a degree or certifications in Python or software development
Work EnvironmentInternship programs, entry-level projects, supervised settingsFull-time employment, collaborative teams, project ownership
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, software companies, enterprise environments
Search & Comparison IntentLooking for entry-level Python roles or internshipsSeeking professional Python development roles

The main difference between a Python Coding Internship and a Python Developer role lies in experience level, responsibilities, and work environment. Internships are designed for students or recent graduates gaining initial exposure, often with supervised tasks. Python Developers are experienced professionals managing complex projects independently. Both roles are essential in the Python ecosystem, but they serve different career stages and expectations.

What types of projects can I expect to work on during a Python Coding Internship?

As a Python Coding Intern, you will likely be assigned to real-world projects that help build your programming skills and exposure to industry practices. These projects often range from developing automation scripts, data analysis tools, or web applications to assisting in quality assurance and debugging tasks. You may work independently on small assignments or collaborate with experienced developers on larger features. This hands-on experience not only strengthens your technical skills but also helps you learn teamwork, version control, and agile development methods commonly used in professional environments.

What is a Python Coding Internship?

A Python Coding Internship is a temporary position designed for students or recent graduates to gain practical experience in programming with Python. Interns typically work on real-world projects, assist with software development tasks, and learn from experienced developers. The internship provides hands-on exposure to coding, debugging, and using Python libraries and frameworks. It is an excellent opportunity to build technical skills, enhance your resume, and network within the tech industry.
What are the most commonly searched types of Python Coding jobs in Berkeley, CA? The most popular types of Python Coding jobs in Berkeley, CA are:
What are popular job titles related to Python Coding Internship jobs in Berkeley, CA? For Python Coding Internship jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Python Coding Internship jobs in Berkeley, CA look for? The top searched job categories for Python Coding Internship jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Python Coding Internship jobs? Cities near Berkeley, CA with the most Python Coding Internship job openings:
Python Coding Internship jobs near you
Infographic showing various Python Coding Internship job openings in Berkeley, CA as of June 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $149,299 per year, or $71.8 per hour.

Full-Stack Engineer (React/Python) (U)

Incorra

San Francisco, CA

Other

Medical, Dental, Retirement

Posted 13 days ago

Job description

Full-Stack Engineer

We are seeking a Full-Stack Engineer who is passionate about building scalable web applications and delivering excellent user experiences. Our mission is to transform industrial research and development by creating a modern platform used by scientists and researchers across large global organizations.

This role is ideal for motivated engineers who want to help build a state-of-the-art development platform used by Fortune 500 companies. You will work across both frontend and backend systems to develop tools that enable scientists to upload, manage, and analyze their experimental data efficiently.

Primary Responsibilities
  • Develop and maintain a web platform where scientists upload and analyze experimental data.
  • Work across both frontend and backend development (approximately a 50/50 split).
  • Build intuitive, data-driven user interfaces that support complex analysis workflows.
  • Collaborate with engineers and product teams to design scalable and maintainable systems.
  • Improve the platform's performance, reliability, and usability.
Requirements
  • 2+ years of software development experience (including internships).
  • Strong interest in building data analysis–driven user interfaces and user experiences.
  • Experience with modern JavaScript best practices.
  • Solid computer science and software engineering fundamentals.
  • Ability to contribute to both frontend and backend development.
Preferred Qualifications
  • B.S. in Computer Science or a related field.
  • Education from a top-tier computer science program.
  • Familiarity with React and ES6.
  • Experience with SQL databases, including query performance optimization.
  • Candidates currently in school or within one year of graduation are encouraged to apply.
Current Technology Stack

Backend: Flask (Python), PostgreSQL

Frontend: React (TypeScript), Redux, Sass

Benefits & Perks
  • Competitive salary and equity
  • Health and dental insurance
  • 401(k) with employer contribution
Interview Process
  1. Introductory Call (20 min). Initial conversation with a team member to introduce the company, discuss the role, and answer candidate questions.
  2. Technical Video Interview (60 min). Live coding interview with an engineer focused on coding fluency, problem solving, and a SQL query exercise.
  3. Take-Home Assignment (90 min, Full-Time Only). Short project to implement a small feature and demonstrate attention to user experience and implementation quality.
  4. On-Site Interview (120 min). Presentation of the take-home assignment, discussion of past work, technical questions, and a live Python debugging session.
  5. Final Discussions & Decision. Follow-up conversations about the role and team before the final hiring decision.

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