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Internship Data Cleaning Jobs in Waukegan, IL (NOW HIRING)

Kasmo Global

Sr. Machine Learning Engineer

Schaumburg, IL · On-site

$103K - $141.40K/yr

I wont accept opts with internships Actalent/Peyton Hello Muni, We received a new role from Toyota ... SageMaker for data cleaning, model selection, model training, and optimization * Other AWS Services ...

CF Industries Holdings, Inc.

Sales Internship

Northbrook, IL · On-site

$15.25 - $20.50/hr

At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably ... customer data as needed * Opportunities to travel to meet with customers, visit production ...

CF Industries

Sales Internship

Northbrook, IL · On-site

$15.25 - $20.50/hr

At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably ... customer data as needed * Opportunities to travel to meet with customers, visit production ...

ITW

Corporate Tax Intern - Winter 2027

Glenview, IL

$30/hr

Interns are encouraged to think and act like entrepreneurs and are provided responsibility and ... Ability to analyze and manage complex information and data * Attention to detail and self-review

Jockey International, Inc.

Planning Admin Intern

Kenosha, WI · On-site

$31.80K - $37.70K/yr

Our internship program prepares students for their careers, allows them to develop the necessary ... Collect, clean, and analyze supply chain data. Assist the Planning team with report creation.

CF Industries

IT Internship

Northbrook, IL

$15.25 - $20.25/hr

At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably ... You contribute to solutions that follow good data design and create insightful data visualizations ...

CF Industries Holdings, Inc.

IT Internship

Northbrook, IL · On-site

$15.25 - $20.25/hr

At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably ... You contribute to solutions that follow good data design and create insightful data visualizations ...

CF Industries

IT Internship

Northbrook, IL

$15.25 - $20.25/hr

At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably ... You contribute to solutions that follow good data design and create insightful data visualizations ...

CF Industries Holdings, Inc.

IT Internship

Northbrook, IL · On-site

$15.25 - $20.25/hr

At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably ... You contribute to solutions that follow good data design and create insightful data visualizations ...

B & B Maintenance Inc

Accounting Analyst

Lake Zurich, IL · On-site

$60K - $70K/yr

We specialize in comprehensive building maintenance, commercial cleaning, and support solutions for ... Responsibilities Core Accounting & Data Entry * Accurately enter and maintain financial ...

B and B Maintenance

Accounting Analyst

Lake Zurich, IL · On-site

$60K - $70K/yr

We specialize in comprehensive building maintenance, commercial cleaning, and support solutions for ... Responsibilities Core Accounting & Data Entry * Accurately enter and maintain financial ...

B and B Maintenance

Accounting Analyst

Lake Zurich, IL · On-site

$60K - $70K/yr

We specialize in comprehensive building maintenance, commercial cleaning, and support solutions for ... Responsibilities Core Accounting & Data Entry * Accurately enter and maintain financial ...

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Internship Data Cleaning information

See Waukegan, IL salary details

$11

$21

$39

How much do internship data cleaning jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship data cleaning in Waukegan, IL is $21.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $23.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Data Cleaning professional, and why are they important?

To thrive as an Internship Data Cleaning professional, you need a basic understanding of data management, attention to detail, and familiarity with database concepts, often supported by coursework in data analysis or statistics. Proficiency with tools like Microsoft Excel, Google Sheets, and basic knowledge of SQL or Python for data manipulation is typically required. Strong organizational skills, problem-solving ability, and effective communication help interns stand out in this role. These competencies are crucial to ensure data accuracy, support analytical tasks, and maintain data quality for business or research needs.

What typical challenges might I encounter during a Data Cleaning internship, and how can I effectively address them?

During a Data Cleaning internship, you may encounter challenges such as dealing with large volumes of inconsistent or incomplete data, identifying and correcting errors, and understanding the context behind various data sets. Effective strategies include developing a solid grasp of data validation techniques, becoming proficient with tools like Excel, Python, or SQL, and regularly communicating with team members to clarify data ambiguities. Being proactive in asking questions and seeking feedback will help you grow your technical skills and contribute more efficiently to the team’s data quality goals.

What is an Internship Data Cleaning position?

An Internship Data Cleaning position involves assisting organizations in organizing, cleaning, and preparing their data for analysis. Interns in this role typically use software tools or programming languages to identify and correct errors, remove duplicates, and standardize formats within datasets. This foundational work ensures that data is accurate and reliable for further analysis or reporting. Such internships are a great way for students or recent graduates to gain practical experience in data management and analytics.

What is the difference between Internship Data Cleaning vs Data Analyst Intern?

AspectInternship Data CleaningData Analyst Intern
Required SkillsBasic data cleaning, Excel, SQLData cleaning, analysis, visualization
Work EnvironmentEntry-level, supervised tasksProject-based, collaborative
Industry UsageCommon in tech, finance, healthcareBroader, includes reporting and insights
CertificationsNone typically requiredOptional certifications in data analysis

Internship Data Cleaning focuses on basic data preparation tasks, while Data Analyst Interns handle more comprehensive analysis and reporting. Both roles are entry-level and often found in similar industries, but Data Analyst Interns typically require broader skills and responsibilities.

What are the most commonly searched types of Data Cleaning jobs in Waukegan, IL? The most popular types of Data Cleaning jobs in Waukegan, IL are:
What are popular job titles related to Internship Data Cleaning jobs in Waukegan, IL? For Internship Data Cleaning jobs in Waukegan, IL, the most frequently searched job titles are:
What job categories do people searching Internship Data Cleaning jobs in Waukegan, IL look for? The top searched job categories for Internship Data Cleaning jobs in Waukegan, IL are:
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Internship Data Cleaning jobs near you

Sr. Machine Learning Engineer

Kasmo Global

Schaumburg, IL • On-site

$103K - $141.40K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Please make sure to submit 3 to 4 genuine profiles at the earliest.
I wont accept opts with internships
Actalent/Peyton
Hello Muni,
We received a new role from Toyota. Max rate is 95/hr.
Toyota Connected's Mobility team is looking for a Sr. Machine Learning Engineer who will use machine learning techniques to help us create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. If you are results driven, interested in how to apply advanced Machine Learning techniques, would love to work with next generation generative AI predictive maintenance, are deeply technical, highly innovative, we want to talk to you.
Responsibilities:

  • Write clean, maintainable code while complying with coding standards
Execute full modeling life cycle including data cleansing, feature creation and iterative model selection Build scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation Use statistical, machine learning, and deep learning techniques to create scalable solutions and perform R&D to drive discovery of new generation products
  • Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation
  • Drive adoption of best practices across organizations
  • Deliver production-ready code
  • Work with Product Owners to define the KPIs for machine learning projects
  • Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods
  • Prepare and present findings to both technical and non-technical audiences
  • Work within the constraints of time, budget, and resources capacities to align with Toyota's global vision
  • Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needs

Required Qualifications:
  • 5+ years of hands-on experience in Machine Learning in a corporate environment
  • Spark and EMR for large ETL jobs
  • Working with ETL tasks using optimized Databricks queries
  • Designing, implementing, monitoring, and updating ML pipelines using SageMaker or MAF
  • SageMaker for data cleaning, model selection, model training, and optimization
  • Other AWS Services - S3, DynamoDB, Lambda, Kinesis, API GW,
  • MLFlow for model metric and artifact generation and monitoring
  • Combining data from multiple datasets
  • Developing CI/CD pipelines, unit and functional testing
  • Establishing model monitoring and model update pipelines
  • Strong decision-making skills with the ability to analyze data, assess risks, and implement effective solutions in a fast-paced environment
  • Problem-solving skills with the ability to identify challenges, develop creative solutions, and implement effective strategies
  • Proven ability to learn and apply new technologies, programming practices, patterns, and methods
  • Experience collaborating effectively with cross-functional teams, including developers, designers, and product owners
  • Experience taking ownership of assigned projects and tasks, proactively driving them to completion while ensuring accountability for quality and deadlines.
  • Results-driven with a strong track record of setting goals, executing strategies, and delivering measurable outcomes

I in the Hiring Process
cceptable Uses of AI:
  • Cover Letter and Resume Creation: AI tools may be used to assist in drafting cover letters and resumes, provided that the final documents truthfully reflect the candidate's own experiences, skills, and accomplishments
  • Interview Preparation: Candidates may use AI-powered tools to practice common interview questions or receive feedback on their responses
The following uses of AI are not to be used in our hiring process:
  • Completing Skills Assessments: Candidates must not use AI tools to complete coding exercises, technical challenges, or any other assessments that evaluate their skills directly
  • Answering Questions: Candidates must not use AI tools to generate answers to interview questions, whether they are technical or behavioral. All responses during an interview must be entirely their own

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