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Entry Level Python Internship Jobs in Los Angeles, CA

Northwood

Infrastructure Engineer - Early Career

Torrance, CA · On-site

$111K - $146K/yr

They are seeking an entry-level Infrastructure Engineer to gain broad exposure across the stack and ... Python, Go, Bash, or similar). • Strong written communication. Able to describe problems ...

D3

Backend Engineer - New Grad

Los Angeles, CA

As a Backend Engineer (Entry Level), you'll work alongside experienced engineers to design and ... Familiarity with at least one backend programming language (e.g., JavaScript/Node.js, Python, or ...

D3

Backend Engineer - New Grad

Los Angeles, CA

As a Backend Engineer (Entry Level), you'll work alongside experienced engineers to design and ... Familiarity with at least one backend programming language (e.g., JavaScript/Node.js, Python, or ...

D3

Backend Engineer - New Grad

Los Angeles, CA · On-site

As a Backend Engineer (Entry Level), you'll work alongside experienced engineers to design and ... Familiarity with at least one backend programming language (e.g., JavaScript/Node.js, Python, or ...

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Entry Level Python Internship information

See Los Angeles, CA salary details

$11

$20

$31

How much do entry level python internship jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for entry level python internship in Los Angeles, CA is $20.81, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $22.55 per hour, depending on experience, location, and employer.

What is an Entry Level Python Internship job?

An Entry Level Python Internship is a temporary, training-focused position designed to help individuals gain hands-on experience in Python programming. Interns typically work on coding tasks, debugging, automation, and small-scale projects under the guidance of experienced developers. This role helps build foundational coding skills, exposure to real-world software development, and experience with industry tools and practices. It is ideal for students, recent graduates, or individuals transitioning into a Python-related career.

What kinds of projects or tasks can I expect to work on during an Entry Level Python Internship?

As an Entry Level Python Intern, you may assist with writing and testing code, cleaning and organizing datasets, automating simple tasks, or helping maintain existing software applications. You’ll often work in a team alongside experienced developers, receive guidance during code reviews, and have the chance to contribute to real products or features. Some internships provide opportunities to participate in team meetings, agile sprints, or collaborate on group projects. This hands-on experience helps you build practical programming skills and exposes you to professional software development workflows, preparing you for future roles in the field.

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

To thrive as an Entry Level Python Intern, you need a solid understanding of Python programming fundamentals, basic problem-solving abilities, and an interest in learning new technologies. Familiarity with tools like Git, basic databases (such as SQLite or MySQL), and introductory web frameworks may be beneficial, though formal certifications are typically not required. Eagerness to collaborate, attention to detail, and strong communication skills help you integrate into a development team and learn quickly. These skills and qualities are essential for adapting to real-world software projects, contributing effectively, and progressing in a technical environment.

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Entry Level Python Internship jobs near you
Infographic showing various Entry Level Python Internship job openings in Los Angeles, CA as of July 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $43,288 per year, or $20.8 per hour.
Financial Analyst Internship - Fall 2026

Financial Analyst Internship - Fall 2026

Varda Space Industries

El Segundo, CA

Other

Posted 14 days ago

Job description

About This Role 

Fall internships will range between the months of August and December. All dates dependent upon the university schedule of the selected students. Internships are full-time and on-site in Los Angeles, CA. To be considered for this internship, candidates must be actively enrolled in an accredited undergraduate or graduate degree program. 

Internships at Varda are optimal for students looking to grow technically and professionally while working on impactful projects critical to the company's success. You will be working on a collaborative team in a startup environment while being able to learn from some of most accomplished and experienced aerospace professionals in the world. We're dedicated to providing an experience that will let your decisions and contributions help drive Varda's success. 

As a part of the finance team you will collaborate with the team to develop data structures and enhance system capabilities for advanced analytics and dashboard creation. Utilize AI, Machine Learning, and LLMs to deliver business insights to executive leadership.

Responsibilities
  • Build data structure to support Business and Finance KPIs
  • Publish Dashboards to automate reporting
  • Review existing systems/tools and enhance reporting mechanisms
  • Enable Machine Learning to evolve automation
Basic Qualifications
  • Education: Currently enrolled in an undergraduate or postgraduate program, majoring in Computer Science or Computer Engineering. Preference for college juniors/rising seniors.
  • Programming Skills: Proficiency in Python, R, Java, Linux, C++, or VMWare.
  • AI/ML Knowledge: Strong understanding of Large Language Models (LLMs) and Machine Learning algorithms.
  • Framework Experience: Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
Preferred Skills And Experience 
  • Project Experience: Previous involvement in AI/ML projects or internships.
  • Deep Learning: Knowledge of deep learning and neural networks.
  • Data Visualization: Experience with tools like Matplotlib and Seaborn.
  • Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure.

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