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Python Data Wrangler Internship Jobs in California

TSMC

Senior Data Engineer / Data Curator

San Jose, CA · On-site

$124K - $168K/yr

... data wrangling, or data curation, particularly in machine learning or AI-driven environments. • Strong proficiency in Python (Pandas, NumPy) and SQL for data manipulation and querying. • ...

Robot.com

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Knowledge of spatial data wrangling and best practices for warehousing and consumption ... Strong proficiency in Python for data engineering and scripting. * Extensive experience with SQL ...

SKIMS

Senior Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

Querying and manipulating large datasets using BI and analytics tools (e.g., Snowflake, SQL, Python, Looker), with strong command of data wrangling, transformation, and exploratory analysis.

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

... in Python and SQL. Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks). Strong data engineering skills, including data wrangling and expertise in ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

... in Python and SQL. Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks). Strong data engineering skills, including data wrangling and expertise in ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

... in Python and SQL. Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks). Strong data engineering skills, including data wrangling and expertise in ...

Segment (Twilio)

Sr Data Scientist

San Jose, CA · On-site

$211.54 - $287.10/hr

Special Skill Requirements: 1. SQL and Python programming to query and validate the accuracy of ... Implement innovative quantitative analyses, test new data wrangling techniques, and experiment with ...

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Python Data Wrangler Internship information

What is the difference between Python Data Wrangler Internship vs Data Analyst Intern?

AspectPython Data Wrangler InternshipData Analyst Intern
Required SkillsPython, data cleaning, scriptingExcel, SQL, basic statistics
Work EnvironmentData preprocessing, scripting tasksData analysis, reporting
Industry UsageTech, finance, startupsBusiness, marketing, finance

The Python Data Wrangler Internship focuses on data cleaning and scripting using Python, ideal for those interested in data preprocessing roles. In contrast, Data Analyst Internships involve analyzing data and creating reports, often requiring Excel and SQL skills. Both roles are common in tech and business sectors, but they serve different stages of data handling and analysis.

What are the key skills and qualifications needed to thrive as a Python Data Wrangler intern, and why are they important?

To thrive as a Python Data Wrangler Intern, you need a solid understanding of Python programming, data manipulation, and foundational knowledge in statistics or data science. Familiarity with tools such as pandas, NumPy, Jupyter Notebooks, and version control systems like Git is typically expected. Strong problem-solving, attention to detail, and effective communication skills set candidates apart in this role. These abilities are crucial for efficiently cleaning, transforming, and interpreting data to support accurate analysis and collaborative project work.

What are some typical projects or tasks assigned to Python Data Wrangler interns, and how do these contribute to the overall data team?

As a Python Data Wrangler intern, you are likely to work on projects involving data cleaning, transformation, and integration from multiple sources. Typical tasks include writing scripts to automate data preprocessing, identifying and correcting inconsistencies, and ensuring data integrity for analytics pipelines. You'll often collaborate closely with data analysts, data engineers, and sometimes machine learning teams to prepare datasets that drive business insights. These contributions are vital, as high-quality, well-structured data forms the foundation for all downstream analytics and decision-making within the organization.

What does a Python Data Wrangler intern do?

A Python Data Wrangler Intern is responsible for collecting, cleaning, organizing, and preparing data for analysis, primarily using Python programming. Their work involves writing scripts to handle messy or unstructured data from various sources, ensuring it is accurate and usable for data science or analytics teams. Tasks may include automating data extraction, transforming data formats, and collaborating with team members to support data-driven projects. This role provides hands-on experience with real-world datasets and tools commonly used in the industry.
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Python Data Wrangler Internship jobs near you
Infographic showing various Python Data Wrangler Internship job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Engineer / Data Curator

TSMC

San Jose, CA • On-site

$124K - $168K/yr

Full-time

Re-posted 24 days ago

TSMC rating

8.0

Company rating: 8.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

58th of 157 rated electronics manufacturers

Job description

Job Summary:
TSMC Arizona is a leading semiconductor manufacturing company, offering an opportunity to work at the most advanced fab in the United States. As a Senior Data Engineer in the AI Data Curation track, you will design and maintain scalable data pipelines, ensuring that the data for AI models is high-quality and aligned with ethical standards.
Responsibilities:
• Design and implement data pipelines for processing, cleaning, and curating large datasets used in model training and fine-tuning.
• Automate data cleaning processes (e.g., removing noise, duplicates, irrelevant content) and ensure datasets are appropriately labeled and structured.
• Collaborate with model teams to ensure data aligns with model requirements and performance goals.
• Assess and mitigate bias in datasets, ensuring that models are trained on diverse and representative data.
• Manage data storage and retrieval strategies, ensuring scalability and data consistency across different environments.
• Conduct regular audits to ensure data integrity, privacy, and security compliance.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data engineering, data wrangling, or data curation, particularly in machine learning or AI-driven environments.
• Strong proficiency in Python (Pandas, NumPy) and SQL for data manipulation and querying.
• Familiarity with cloud-based data storage (AWS S3, Google Cloud Storage, etc.) and distributed systems for managing large datasets.
• Experience with data annotation tools and platforms for manual or semi-automated labeling.
• Experience with NLP data formats, such as JSONL, text, or embeddings, and an understanding of tokenization.
• Experience managing data pipelines with tools like Apache Kafka, Apache Airflow, or similar ETL tools.
• Strong knowledge of AI ethics, data privacy, and compliance standards (GDPR, CCPA, etc.).
• Candidates must be willing and able to work on-site at our Phoenix Arizona facility.
• Communication
• Computer proficiency
• Presentation skills
• Listening
• Teamwork
Preferred:
• Experience with vector databases and indexing for LLMs (e.g., FAISS, Pinecone).
Company:
Established in 1987, TSMC is the world's first dedicated semiconductor foundry. Founded in 1987, the company is headquartered in Hsinchu, TWN, with a team of 10001+ employees. The company is currently Late Stage.

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