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

Voltai

Software Engineer (Palo Alto)

Palo Alto, CA · On-site

$160K - $300K/yr

Experience with Python, C++. Typescript, & React in complex products. Bonus Points * Background in ... Seniority level Entry level Employment type Full-time Job function Engineering and Information ...

asrcfh

Computer Operator, Linux

Mountain View, CA · On-site

$24.04/hr

This role is ideal for entry-level candidates looking to grow their careers in High Performance ... Programming or scripting experience (e.g., Python, Bash, C, C++, Java, Perl, Ruby, Fortran) * Prior ...

asrcfh

Computer Operator, Linux

Mountain View, CA

$24.04/hr

This role is ideal for entry-level candidates looking to grow their careers in High Performance ... Programming or scripting experience (e.g., Python, Bash, C, C++, Java, Perl, Ruby, Fortran) * Prior ...

asrcfh

Computer Operator, Linux

Mountain View, CA · On-site

$24.04/hr

This role is ideal for entry-level candidates looking to grow their careers in High Performance ... Programming or scripting experience (e.g., Python, Bash, C, C++, Java, Perl, Ruby, Fortran) * Prior ...

Lynx Technologies, Inc.

GIS Technician I

Capitola, CA · On-site

$62K/yr

In this entry-level role, you will work with experienced GIS professionals, support municipal ... Arcade * Python * JavaScript * Workflow * Model Builder * FME Preferred: local government ...

New

Cadence

Application Engineer

San Jose, CA · On-site

$74K - $137K/yr

This is an entry level rotational position for STEM bachelor level graduates who have limited ... UNIX , C/C++, and scripting languages such as Perl, TCL, Python * Digital physical design and ...

Worky

Software Engineer I - AI Agents

Redwood City, CA · On-site

$150 - $200/hr

This is an entry-level role suitable for a recent graduate or an engineer with up to three years of ... Build and maintain services using Python , typescript, golang. * Develop APIs and integrations with ...

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Entry Level Python information

See Cupertino, CA salary details

$16

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How much do entry level python jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for entry level python in Cupertino, CA is $72.32, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $82.16 per hour, depending on experience, location, and employer.

What is an entry level Python job?

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.

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.

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.

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 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.

Is Entry Level Python in demand in 2026?

Entry level Python roles are expected to remain in demand in 2026 due to Python's widespread use in data analysis, automation, and web development. Employers seek candidates with basic programming skills, knowledge of libraries like Pandas or Flask, and the ability to learn quickly, making it a valuable entry point into tech careers.

Which entry level Python job is in demand?

Entry-level Python developer roles are in high demand across industries such as technology, finance, and data analysis. These positions often require knowledge of Python programming, basic understanding of frameworks like Django or Flask, and familiarity with version control tools like Git. Certifications and hands-on projects can improve job prospects in this field.
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The most popular types of Python jobs in Cupertino, CA are:

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For Entry Level Python jobs in Cupertino, CA, the most frequently searched job titles are:

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What cities near Cupertino, CA are hiring for Entry Level Python jobs?

Cities near Cupertino, CA with the most Entry Level Python job openings:

Entry Level Python jobs near you
Infographic showing various Entry Level Python job openings in Cupertino, CA as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $150,433 per year, or $72.3 per hour.

Data Scientist - Fraud Detection

DataVisor

Mountain View, CA • On-site

Full-time

Medical, PTO

Posted 11 days ago

Key responsibilities

  • Develop and deploy machine learning models for fraud detection and risk assessment.

  • Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data.

  • Collaborate with engineering and business teams to integrate ML models into production systems.

Job description

About DataVisor:
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview:

We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team. In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets. You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud.

Key Responsibilities:

  • Develop and deploy machine learning models for fraud detection and risk assessment.
  • Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data.
  • Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.).
  • Collaborate with engineering and business teams to integrate ML models into production systems.
  • Continuously monitor model performance and refine algorithms to improve accuracy.
  • Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies.

Requirements

  • Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field. Ph.D. degree is a plus. 
  • Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus).
  • Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.).
  • Experience with SQL and data manipulation/analysis in large datasets.
  • Strong problem-solving skills and patience for deep-dive data exploration.
  • Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus.
  • Excellent communication skills and ability to work in a collaborative environment.
Nice to have
  • Familiarity with big data tools (Spark, Hadoop, Dask).
  • Knowledge of graph-based fraud detection techniques.
  • Experience with cloud platforms (AWS, GCP, Azure).

Benefits

PTO, Stock Option, Health Benefits