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Internship Python Pandas Jobs in Mountain View, CA

Knit Health

Data Engineer II

San Francisco, CA · On-site

$110K - $135K/yr

A combination of internships, research, and substantial project experience that clearly ... Python: fluency writing clean, modular code for data manipulation, transformation, and scripting ...

Knit Health

Data Engineer II

San Francisco, CA · On-site

$134K - $162K/yr

A combination of internships, research, and substantial project experience that clearly ... Python: fluency writing clean, modular code for data manipulation, transformation, and scripting ...

Wand

Product Data Analyst

San Francisco, CA · Remote

$145K - $175K/yr

... internships) * SQL fluency -- complex joins, incremental computation, window functions, query optimization; comfortable with large, messy datasets * Python for analysis -- pandas and statistical ...

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All JobsPython Pandas JobsInternship Python Pandas JobsInternship Python Pandas Jobs in Mountain View, CA

Internship Python Pandas information

See Mountain View, CA salary details

$15

$69

$101

How much do internship python pandas jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship python pandas in Mountain View, CA is $69.15, according to ZipRecruiter salary data. Most workers in this role earn between $57.02 and $78.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship Python Pandas, and why are they important?

To thrive in a Python Pandas internship, you need a solid understanding of Python programming, data manipulation, and familiarity with the Pandas library, often supported by coursework or personal projects in data analysis. Experience with tools such as Jupyter Notebook, NumPy, and version control systems like Git is commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly will help you stand out. These skills and qualities are crucial for efficiently handling real-world datasets, contributing to team projects, and delivering actionable insights.

What types of projects and tasks can I expect to work on during a Python Pandas internship?

As a Python Pandas intern, you will typically work on data-driven projects such as data cleaning, transformation, analysis, and visualization. You might assist in preparing datasets for machine learning models, generating reports, or automating data workflows using Pandas and related libraries. Interns often collaborate with data scientists or analysts, gaining hands-on experience with real-world datasets and contributing to team objectives. This role offers a supportive environment to develop technical skills and learn industry best practices while making a meaningful impact.

What is an internship Python Pandas?

Internship Python Pandas positions are entry-level roles designed for students or recent graduates to gain hands-on experience working with Python and the Pandas library. These internships typically involve tasks like data cleaning, analysis, and manipulation using Pandas, often within the context of real-world projects. Interns may work on data-driven applications or support teams in preparing datasets for machine learning or business intelligence. These roles help interns build practical skills in data science and software development, and often serve as a stepping stone to more advanced roles in the tech industry.

What is the difference between Internship Python Pandas vs Data Analyst?

AspectInternship Python PandasData Analyst
Required SkillsPython, Pandas, basic data manipulationData analysis, SQL, Excel, visualization
Work EnvironmentInternship, entry-level, training-focusedFull-time, professional setting, project-driven
Industry UsageLearning phase, supporting data tasksInterpreting data, reporting, decision-making

Internship Python Pandas roles focus on learning and supporting data tasks using Python and Pandas, often as entry-level positions. Data Analysts have broader responsibilities, including interpreting data, creating reports, and making data-driven decisions. While both roles require some overlapping skills, Data Analysts typically have more experience and a wider skill set.

What job categories do people searching Internship Python Pandas jobs in Mountain View, CA look for? The top searched job categories for Internship Python Pandas jobs in Mountain View, CA are:
What cities near Mountain View, CA are hiring for Internship Python Pandas jobs? Cities near Mountain View, CA with the most Internship Python Pandas job openings:
Internship Python Pandas jobs near you
Infographic showing various Internship Python Pandas job openings in Mountain View, CA as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 10% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $143,841 per year, or $69.2 per hour.

AI Automation Engineering Intern

Advantest

San Jose, CA

$19.75 - $25.50/hr

Full-time

Re-posted 15 days ago

Job description

About the Role

We are looking for a motivated and technically curious intern to join our Silicon Test Engineering team. In this role, you will leverage AI and modern automation tools to build intelligent workflows that accelerate the development, validation, and production testing of next-generation AI chips. This is a unique opportunity to work at the intersection of AI-driven software automation and cutting-edge silicon hardware.

What You Will Do

  • Design, develop, and deploy AI-powered automation workflows to streamline silicon test processes, from loadboard bring-up through high-volume production.
  • Use large language models (LLMs) and AI coding assistants to rapidly prototype scripts, data pipelines, and analysis tools that support test program development.
  • Automate repetitive engineering tasks such as test data extraction, result parsing, yield analysis, and report generation using AI-augmented toolchains.
  • Collaborate with test, design, and product engineers to identify manual bottlenecks and implement intelligent automation solutions.
  • Build and maintain dashboards or internal tools that provide real-time visibility into test metrics, yield trends, and program health.
  • Evaluate and integrate emerging AI tools and APIs into existing engineering workflows to improve team productivity.
  • Document processes, automation recipes, and best practices to enable team-wide adoption.

Why This Role Matters

AI chips are pushing the boundaries of performance and complexity, and the engineering workflows that bring them to life must evolve just as fast. By embedding AI-driven automation directly into our test and validation pipeline, you will help reduce time-to-market, improve yield, and enable the team to focus on high-value engineering challenges instead of repetitive manual tasks. Your work will have a tangible impact on products that power the future of artificial intelligence.

What You Will Gain

  • Hands-on experience applying AI to real-world semiconductor engineering problems.
  • Deep exposure to the full silicon lifecycle - from design validation through high-volume manufacturing.
  • Mentorship from experienced test and product engineers at the forefront of AI chip development.
  • A portfolio of automation projects you can showcase to future employers.
  • The opportunity to shape how a world-class engineering team integrates AI into daily operations.

What We Are Looking For

  • Currently pursuing a B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Strong programming skills in Python; familiarity with scripting, data manipulation (Pandas, NumPy), and API integration.
  • Demonstrated interest in or hands-on experience with AI/ML tools, LLMs, prompt engineering, or AI-assisted development (e.g., Claude, ChatGPT, Copilot).
  • Exposure to any of the following is a plus: semiconductor test (ATE), silicon validation, test program development, or hardware debug.
  • Ability to learn quickly, work independently, and communicate technical concepts clearly to cross-functional teams.
  • A builder's mindset - you see a manual process and immediately think about how to automate it.
  • Ability to work onsite at our San Jose, CA location five days per week. Relocation assistance is not provided to interns at this time.

Apply