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Part Time Python Jobs in San Jose, CA (NOW HIRING)

Experience in high-volume electronics manufacturing (optical preferred), including Six Sigma, P/T ... Experience in optical instrumentation, data collection, and automation using MATLAB, Python, C/C ...

AI Solutions Architect

Menlo Park, CA · On-site

$228K - $231K/yr

Full-time or part-time: Full-time Job title: AI Solutions Architect Job Location: 640 W California ... Python, R, Tensorflow, PyTorch). 5-10% domestic and international travel required for internal ...

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Part Time Python information

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$15

$68

$101

How much do part time python jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for part time python in San Jose, CA is $68.70, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $78.03 per hour, depending on experience, location, and employer.

What is a part time Python job?

A Part Time Python job involves working on Python-based tasks or projects for a limited number of hours per week, rather than full-time employment. These roles can include web development, data analysis, automation, scripting, or machine learning. Part-time Python jobs are ideal for students, freelancers, or professionals looking to supplement their income while maintaining flexibility. Opportunities can be found in various industries, including tech, finance, and healthcare.

What does a typical work schedule look like for a part time Python developer and how flexible is the role?

Part Time Python developer roles are often designed with flexibility in mind, accommodating students, freelancers, or professionals seeking supplementary income. Work hours can range from a few hours per day to certain days of the week, and many positions offer remote or hybrid options. While some employers may set core hours for team meetings or project check-ins, the bulk of the coding work can usually be completed on your own schedule. This flexibility allows you to balance other commitments while gaining valuable industry experience and building your programming portfolio.

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

To thrive as a Part Time Python developer, you should have a solid understanding of Python programming, experience with relevant frameworks (such as Django or Flask), and a background in software development or computer science. Familiarity with code versioning tools like Git, cloud platforms, and databases, as well as participation in coding bootcamps or holding certifications (like Python Institute PCEP/PCAP), is often beneficial. Strong problem-solving skills, effective communication, and the ability to work independently or remotely are key soft skills for part-time positions. These abilities ensure you can contribute effectively within limited hours, collaborate with diverse teams, and consistently deliver high-quality code.

What are the most commonly searched types of Python jobs in San Jose, CA?

The most popular types of Python jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Part Time Python jobs?

Cities near San Jose, CA with the most Part Time Python job openings:

Infographic showing various Part Time Python job openings in San Jose, CA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $142,904 per year, or $68.7 per hour.

Energy Systems Analyst Graduate Intern - Fall 2026

LLNL

Livermore, CA • On-site

$9.7K/wk

Part-time, Internship

Retirement

Posted 3 days ago

New


Job description

Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.
Job Description
The Computational Engineering Division (CED) is seeking an Energy Systems Analyst Graduate Student Intern. The opening is for a graduate-level student who has received a bachelor's or master's degree who will be given the opportunity to engage in practical research to further their educational goals.
The intern will provide technical support for research on energy systems modeling, technoeconomic and lifecycle assessment, geospatial analysis, and network optimization. The work may address synthetic and biofuels, alternative feedstock utilization, hydrogen systems, and technology commercialization and scale-up.
This is a part-time internship requiring approximately 10 to 20 hours per week for 6 to 9 months.
In this role you will
  • Conduct technoeconomic and lifecycle assessments of synthetic fuels, biofuels, alternative feedstock utilization, hydrogen production and transport, and related energy technologies.
  • Develop and apply geospatial analysis and network optimization using infrastructure, supply chain, market, and technology data.
  • Synthesize research findings to evaluate system configurations, technology scale-up potential, and deployment strategies.
  • Conduct research under limited direction and supervision.
  • Collaborate with scientists, engineers, and analysts in a multidisciplinary team environment.
  • Prepare technical summaries, presentations, visualizations, and other project deliverables.
  • Perform other duties as assigned.

Qualifications
  • Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
  • Must be a continuing student in good standing at an accredited institution pursuing a graduate degree or have completed a bachelor's degree.
  • Ability to work part time, approximately 10 to 20 hours per week, for 6 to 9 months.
  • Academic or research experience in energy systems, chemical engineering, environmental engineering, mechanical engineering, industrial engineering, economics, operations research, data science, or a related field.
  • Demonstrated experience or coursework in one or more of the following: technoeconomic assessment, lifecycle assessment, geospatial analysis, network optimization, or energy systems modeling.
  • Familiarity with one or more of the following: Python, MATLAB, R, Excel, GIS software, or optimization solvers.
  • Effective written and verbal communication skills.
  • Ability to work independently, manage assignments, and collaborate effectively in a team environment.

Qualifications We Desire
  • GPA of 3.5 or above.
  • Excitement about working on challenging energy problems.

Pay
$10,215 Monthly
Please note that the pay is determined by California's Computer Professional Exemption.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Why Lawrence Livermore National Laboratory?
  • Included in 2026 Best Places to Work by Glassdoor!
  • Holiday Pay
  • Sick leave accrual
  • Individual 401(k) contributions
  • Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance
None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check.
National Defense Authorization Act (NDAA)
The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.