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Entry Level Python Jobs in Richmond, CA (NOW HIRING)

Blackstone Talent Group

Scientific Data Curator

Sonoma, CA · On-site

$66K - $66K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... Basic experience generating or editing Python/R Scripts WORK ENVIRONMENT This is primarily a desk ...

Blackstone Talent Group

Scientific Data Curator

Hayward, CA · On-site

$67K - $68K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... Basic experience generating or editing Python/R Scripts WORK ENVIRONMENT This is primarily a desk ...

Blackstone Talent Group

Scientific Data Curator

Alameda, CA · On-site

$68K - $69K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... Basic experience generating or editing Python/R Scripts WORK ENVIRONMENT This is primarily a desk ...

Blackstone Talent Group

Scientific Data Curator

San Mateo, CA · On-site

$67K - $67K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... Basic experience generating or editing Python/R Scripts WORK ENVIRONMENT This is primarily a desk ...

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Entry Level Python information

See Richmond, CA salary details

$15

$67

$99

How much do entry level python jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for entry level python in Richmond, CA is $67.28, according to ZipRecruiter salary data. Most workers in this role earn between $55.43 and $76.44 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or related fields. Familiarity with version control systems like Git, basic knowledge of databases, and exposure to development environments such as PyCharm or VS Code are often expected. Strong communication, eagerness to learn, and teamwork skills help you adapt quickly and collaborate effectively with peers. These skills ensure you can contribute to projects, learn from feedback, and grow within dynamic software development teams.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for entry-level developers in 2026 due to its versatility in data analysis, web development, automation, and machine learning. Employers value Python proficiency along with knowledge of frameworks like Django or Flask and familiarity with version control tools such as Git.

What entry level jobs can you get with Python?

Entry-level Python jobs include roles such as Python developer, data analyst, automation tester, and junior software engineer. These positions typically require basic programming skills, familiarity with Python libraries, and often involve tasks like scripting, data processing, or testing in a team environment.

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

AspectEntry Level PythonData Analyst
Required SkillsBasic Python programming, problem-solvingData visualization, SQL, Excel, some Python
CertificationsPython for Beginners, Entry-Level ProgrammingGoogle Data Analytics, Microsoft Excel Certification
Work EnvironmentTech companies, startups, software teamsBusiness, finance, marketing departments
Industry UsageSoftware development, automation, scriptingData analysis, reporting, decision-making

Entry Level Python roles focus on basic programming skills and scripting, often within tech environments. Data Analysts combine Python with data visualization and SQL skills to interpret data for business insights. While both roles require some programming knowledge, Data Analysts typically have broader skills in data handling and reporting, making them more versatile in data-driven industries.

What are some common challenges faced by entry level Python developers in their first role?

Entry level Python developers often encounter challenges such as understanding legacy codebases, adapting to team coding standards, and effectively using version control systems like Git. Additionally, they may need to quickly learn new frameworks or tools relevant to the project. Collaborating with more experienced developers and asking questions is key to overcoming these hurdles and growing technical skills.

What Are Entry-Level Python Jobs?

Entry-Level Python positions can be found in multiple industries because Python is a general-purpose language. The company you work for may shape your development, but your general responsibilities include programming software, writing code, and building web applications. Your duties have you working hands-on with Python to analyze, identify, and develop sourced data. You program efficient approaches to process data and test and troubleshoot systems. In an entry level Python position, you work under higher level programmers and assist with improvements while gaining valuable experience to enhance your skills.

Which pays more, C++ or Python?

For entry-level Python developers, salaries are generally comparable to those of C++ developers, with variations depending on industry, location, and experience. Python skills are often in higher demand for roles involving data analysis, machine learning, and web development, which can influence compensation. Overall, both languages offer strong earning potential for entry-level positions, especially when combined with relevant tools and certifications.

How do I get a job in Python with no experience?

Entry-level Python jobs often require basic programming skills, which can be gained through online courses, tutorials, and practicing coding projects. Building a portfolio of small projects and learning relevant tools like Git and understanding fundamental concepts can improve your chances, even without formal work experience.

What does an Entry Level Python developer do?

An Entry Level Python developer is responsible for writing, testing, and debugging code using the Python programming language. They typically assist in building and maintaining software applications, automating simple tasks, and supporting senior developers in various projects. Entry-level roles are ideal for those new to the field and often focus on learning best coding practices and gaining real-world experience through hands-on projects.
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What cities near Richmond, CA are hiring for Entry Level Python jobs? Cities near Richmond, CA with the most Entry Level Python job openings:
Entry Level Python jobs near you
Applications Programmer

Applications Programmer

University of California San Francisco

San Francisco, CA

Full-time

Posted 29 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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