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Python Data Wrangler Internship Jobs in Chicago, IL

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience in data cleansing, data validation and data wrangling. * Hands-on experience in AWS ... Python or Unix Scripting * Proficient in SQL, PL/SQL, relational databases (RDBMS), database ...

1 point system

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience in data cleansing, data validation and data wrangling. * Hands-on experience in AWS ... Python or Unix Scripting * Proficient in SQL, PL/SQL, relational databases (RDBMS), database ...

Munich Re

Data Scientist

Chicago, IL · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.

Munich RE

Data Scientist

Chicago, IL · On-site

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.

Varsity Tutors

Data Science Tutor

Lake Forest, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Skokie, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Buffalo Grove, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Des Plaines, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Highland Park, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Python Data Wrangler Internship information

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.

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 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 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 popular job titles related to Python Data Wrangler Internship jobs in Chicago, IL?

For Python Data Wrangler Internship jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Python Data Wrangler Internship jobs in Chicago, IL look for?

The top searched job categories for Python Data Wrangler Internship jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Python Data Wrangler Internship jobs?

Cities near Chicago, IL with the most Python Data Wrangler Internship job openings:

Python Data Wrangler Internship jobs near you
Infographic showing various Python Data Wrangler Internship job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Data Engineer

1 point system

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 6 days ago

Job description

EXPERIENCE AND QUALIFICATIONS:

Required Skills - Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners

• Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business

• Very good understanding of the full software development life cycle

• Very good understanding of Data warehousing concepts and approaches

• Experience in building Data pipelines and ETL approaches using Informatica IICS, Alteryx or any leading pipeline tool.

• Experience in building high-volume data workflows in a cloud environment

• Experience in building Data warehouse and Business intelligence projects

• Good Experience using Snowflake environment.

• Good Experience using streaming data using Kafka.

• Experience in data cleansing, data validation and data wrangling.

• Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift

• Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus

• Experience with Business Intelligence tools like Tableau, Cognos, ThoughtSpot, etc is a plus.

• Experience in one of the scripting languages: Python or Unix Scripting

• Proficient in SQL, PL/SQL, relational databases (RDBMS), database concepts and dimensional modeling

• Strong verbal and written communication skills

• Demonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environments.

• Resources should be able work along with On-site hours to participate in Req/Design discussions.