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Entry Level Python Programmer Jobs in San Jose, CA

SynergisticIT

Entry Level Java Developer

Fremont, CA · On-site

Whether you're a recent graduate, a self-taught programmer, or pivoting from a different profession ... Getting hired requires more than just knowing Java or Python--it demands hands-on experience, a ...

SynergisticIT

Machine Learning Engineer

Palo Alto, CA · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. We ...

Sidecar

Software Engineer - Fraud

San Francisco, CA

To support and expand we are transitioning to python and hiring more top-notch senior developers with server side expertise. Our office is located in downtown San Francisco and is full of smart, hard ...

Kindling LLC

Back-End Engineer

San Francisco, CA

About the role We're looking for an entry-level back-end engineer to join our engineering team. He ... We use Python/Django for our back-end development, and collaborate via git using feature branches ...

SynergisticIT

Software Engineer

Fremont, CA · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. Who Should Apply Recent IT graduates looking to make their ...

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Entry Level Python Programmer information

See San Jose, CA salary details

$47

$79

$97

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

As of Jun 23, 2026, the average hourly pay for entry level python programmer in San Jose, CA is $79.82, according to ZipRecruiter salary data. Most workers in this role earn between $73.27 and $84.52 per hour, depending on experience, location, and employer.

What does an Entry Level Python Programmer do?

An Entry Level Python Programmer is responsible for writing, testing, and debugging simple Python code under the guidance of more experienced developers. They often assist with basic programming tasks, such as data manipulation, automation scripts, or web development using Python frameworks. Their main goal is to support projects while learning and improving their coding skills on the job. Entry level programmers commonly collaborate with team members, follow coding standards, and help troubleshoot software issues.

What is the difference between Entry Level Python Programmer vs Data Analyst?

AspectEntry Level Python ProgrammerData Analyst
Required SkillsPython, basic programming, scriptingExcel, SQL, data visualization, some Python
CertificationsNone required, but Python certifications helpfulNone required, but data analysis certifications beneficial
Work EnvironmentTech companies, startups, software firmsBusiness, finance, healthcare, consulting
Typical TasksWriting scripts, debugging, automationData collection, cleaning, analysis, reporting

While both roles involve working with data and programming, Entry Level Python Programmers focus on coding and automation using Python, often in tech environments. Data Analysts utilize Python alongside other tools to interpret data and generate insights in various industries. The roles overlap in technical skills but differ in primary responsibilities and industry focus.

What types of projects do entry level Python programmers typically work on, and how do these projects support career development?

Entry level Python programmers often start by working on tasks like writing scripts to automate repetitive processes, assisting with data cleaning for analytics teams, or contributing to the maintenance and debugging of existing codebases. These projects are designed to build foundational skills in coding, version control, and collaboration within a software development team. As you gain experience and demonstrate your abilities, you may be given opportunities to take on more complex assignments, such as developing new features or participating in code reviews, which can significantly support your professional growth.

What are the key skills and qualifications needed to thrive as an Entry Level Python Programmer, and why are they important?

To thrive as an Entry Level Python Programmer, a solid understanding of Python fundamentals, basic algorithms, and problem-solving skills is essential, typically backed by a degree in computer science or relevant coursework. Familiarity with code versioning tools like Git, simple database systems such as SQLite or MySQL, and common frameworks like Flask or Django is often required. Attention to detail, eagerness to learn, and effective communication help individuals adapt and contribute to team projects. These skills and qualities are vital for writing reliable code, collaborating efficiently, and growing in a fast-paced tech environment.
What are the most commonly searched types of Python Programmer jobs in San Jose, CA? The most popular types of Python Programmer jobs in San Jose, CA are:
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Entry Level Python Programmer jobs near you
Infographic showing various Entry Level Python Programmer job openings in San Jose, CA as of June 2026, with employment types broken down into 50% Full Time, and 50% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $166,022 per year, or $79.8 per hour.
Applications Programmer

Applications Programmer

University of California San Francisco

San Francisco, CA • On-site

Full-time

Posted 26 days ago

Job description

This is a Contract position with a 3 months end date from start date

Job Function Summary:

Engaged in the development and automation of AI-driven regulatory science systems and population pharmacokinetics modeling workflows. Responsibilities include assisting with constructing large language models (LLMs) using Retrieval-Augmented Generation (RAG) and benchmarking their performance against leading models such as ChatGPT and Gemini. Support in designing, implementing, and maintaining automated pipelines for model construction, optimization, and result reporting. Additionally, responsible for assisting with developing and managing data sharing and archiving systems to support research projects, ensuring data integrity, accessibility, and reproducibility. Work supports full-cycle system design, implementation, evaluation, maintenance, and documentation. 

Generic Scope

Entry-level professional with limited prior experience; learns to use professional concepts to resolve problems of limited scope and complexity; works on assignments that are initially routine in nature, requiring limited judgment and decision making. Employees at this level are expected to acquire the skills and knowledge to perform more advanced work following an agreed upon time in position, through defined training and development planning. 

Custom Scope

Under general supervision, applies professional computational and data science concepts to the development and automation of AI-driven modeling systems in regulatory science and pharmacokinetics. Assist with projects of moderate scope involving large language model (LLM) construction using RAG frameworks, model performance benchmarking, and workflow automation for population pharmacokinetics modeling. Follows established research and development procedures to collect, analyze, and manage scientific data. Contributes to the design and maintenance of data sharing and archiving systems to ensure research reproducibility and compliance with institutional policies.

Required Qualifications

  • Bachelor's degree in related area and / or equivalent experience / training.
  • Skill in programming languages commonly used in AI and data science (e.g., Python, R) and in the use of machine learning libraries and APIs.
  • Demonstrated effective communication and interpersonal skills.
  • Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.
  • Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.
% of timeEssential Function (Yes/No)Key Responsibilities (To be completed by Supervisor)40%YesAssisting with constructing a large language model of regulatory science using RAG, compares in-house model performance with the benchmark LLMs such as ChatGPT and Gemini. 40%YesAssist with automating the model construction, optimization and result reporting of population pharmacokinetics modeling. 20%YesSupport designs and maintains a data sharing and archiving system for research projects         

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