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Internship Data Cleaning Jobs (NOW HIRING)

Quality Internship

Plymouth, MI · On-site

$16 - $20.75/hr

Quality Internship Make individual mobility more enjoyable and sustainable by advancing technology ... Assisting with data cleaning, analysis, and structuring of reports. Audit Management: * Perform ...

DAVE Data Program Support * Assist with data collection, research, cleaning, and analysis ... or AI through work, academic, internship, or project experience. * Interest in aviation ...

DAVE Data Program Support * Assist with data collection, research, cleaning, and analysis ... or AI through work, academic, internship, or project experience. * Interest in aviation ...

... Internship. You will have the opportunity to learn and contribute to a company and team that is ... data cleaning tasks (query management, manual data review, reconciliation etc.). Assist with ...

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Ensure data integrity and accuracy through regular data validation and cleaning processes. * Assist ... Experience: 0-2 years of experience in a data analysis role or a related internship. Experience in ...

... Internship. You will have the opportunity to learn and contribute to a company and team that is ... cleaning tasks (query management, manual data review, reconciliation etc.). • Assist with ...

Showing results 21-40

Internship Data Cleaning information

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$12

$22

$42

How much do internship data cleaning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for internship data cleaning in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship data cleaning?

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 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 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.

More about Internship Data Cleaning jobs

What cities are hiring for Internship Data Cleaning jobs?

Cities with the most Internship Data Cleaning job openings:

What are the most commonly searched types of Data Cleaning jobs?

The most popular types of Data Cleaning jobs are:

What states have the most Internship Data Cleaning jobs?

States with the most job openings for Internship Data Cleaning jobs include:

Infographic showing various Internship Data Cleaning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Applied Data Scientist Internship (DoW SkillBridge) with Security Clearance

IntelliGenesis

Columbia, MD • On-site

Other

Medical, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Applied Data Scientist Internship (DoW SkillBridge)
The DoW SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. Service members participating in DoW SkillBridge programs continue receiving their military compensation and benefits, while industry partners provide the civilian training and work experience. More information can be found here: https://skillbridge.osd.mil/index.htm Eligibility Requirements: * Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
* Served at least 180 days on active duty
* Within 180 days of separation or retirement
* Will receive an honorable discharge
* Has taken any service TAPS/TGPS
* Has attended or participated in an ethics brief within the last 12 months
* Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship
Duration: * 90-180 days
Requirements: * Must be a U.S. Citizen
* Active TS/SCI clearance with polygraph required
* Must be able to report daily to Columbia, MD office
* Minimum of six (6) years of experience performing data-analysis on collected information to pinpoint unique insight and intelligence opportunities within the data
* Experience within at least two (2) of the following skill areas: 
* Mathematics/Statistics
* Computer Science
* Scripting
* Cloud Computing
* Data Mining, Metadata Analysis or Machine Learning
* Artificial Intelligence
* Data Visualization or Data Automation. 
* Data science
* Advanced analytical algorithms
* Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
* Data management (e.g., data cleaning and transformation)
* Data modeling and assessment
* Artificial intelligence
* Software engineering
* Experience constructing and performing complex database search queries 
* Experience/knowledge of computer science concepts
Desired Skills: * Ideal Candidates would be from one of the following Military Occupational Skill Communities: 
* Air Force – (1N4)
* Marine – (2611, 2629)
* Army – (35N, 352N, 17C, 170A)
* Navy 
* CTR (C18A/9147, C19A/9149)
* CTN (H11A/9319, H12A/9318, H13A/9308, H14A/9326, H15A/9327, H16A/9328, H33A, H34A)
* Experience or familiarity with data analytics and/or the following advanced scripting languages and tools: 
* Python,
* SQL
* Jupyter
* Pig
* ELK Stack
* Splunk
* PowerBI
* Jupyter Notebooks
_____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.  IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.