ZipRecruiter

Log In

1

Internship Data Validator Jobs (NOW HIRING)

Amazon

Data Engineer II, Intl. Seller Services

Seattle, WA · On-site

$130K - $156K/yr

... validation, and documentation Identify opportunities in existing data solutions for improvements ... non internship data engineering experience PREFERRED QUALIFICATIONS - Experience with AWS ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

You'll engage with our team of educators to validate and iterate the models that drive our ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

You'll engage with our team of educators to validate and iterate the models that drive our ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

You'll engage with our team of educators to validate and iterate the models that drive our ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

DataSpring

Data Engineer

$117K - $140K/yr

... data, validating counts, and resolving last‑mile data defects under tight timelines ... including internships or academic projects • Demonstrated success contributing to data ...

JANSON

Junior Data Analyst / Developer

Fairfax, VA · On-site

... validation, quality checks, and sustainment artifacts · Support analytics handoff and ... internships, labs, or academic projects) · Foundational knowledge of Python or SQL · ...

next page

Showing results 1-20

All JobsData Validator JobsInternship Data Validator Jobs

Internship Data Validator information

See salary details

$12

$22

$42

How much do internship data validator jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for internship data validator 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 does an Internship Data Validator do?

An Internship Data Validator is responsible for reviewing and checking data for accuracy and consistency in various projects, often within organizations or research settings. They ensure that data entered into systems or databases is correct, complete, and free of errors. This role may also involve collaborating with teams to identify discrepancies, implementing data quality standards, and reporting any issues found. It's an essential position for maintaining the integrity of information used for decision-making. Internship Data Validators often gain valuable experience with data management tools and processes, making it a strong entry point into data-related careers.

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

To thrive as an Internship Data Validator, you need attention to detail, a foundational understanding of data management, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in statistics or data analysis. Familiarity with data validation tools, basic SQL, and experience using data entry or database systems are typically expected. Strong organizational skills, reliability, and effective communication help ensure accuracy and efficient workflow in collaborative settings. These skills and qualities are crucial for maintaining high data quality and supporting informed decision-making within organizations.

What are the main responsibilities and expectations for an Internship Data Validator on a daily basis?

As an Internship Data Validator, your primary responsibilities include reviewing large datasets for accuracy, completeness, and consistency. You will work closely with data analysts and other team members to identify and correct errors, document findings, and ensure that data meets quality standards before it is used for analysis or reporting. Attention to detail and strong organizational skills are essential, as you may be expected to handle repetitive tasks while maintaining high levels of accuracy. Additionally, you may assist in developing or refining validation processes under the guidance of senior staff, providing valuable hands-on experience in data quality management.
What cities are hiring for Internship Data Validator jobs? Cities with the most Internship Data Validator job openings:
What are the most commonly searched types of Data Validator jobs? The most popular types of Data Validator jobs are:
What states have the most Internship Data Validator jobs? States with the most job openings for Internship Data Validator jobs include:
Internship Data Validator jobs near you
Data Science Internship (Data Platforms)

Data Science Internship (Data Platforms)

MHI

Lake Mary, FL • On-site

Internship

Posted 12 days ago

Job description

Data Science Associate
Company Overview
At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining power generation to accelerate the world's energy transition. We operate as one team, pushing toward our vision of the future. We value problem solvers, prioritize collaboration, and support each other in an inclusive culture built on accountability and authenticity by demonstrating our values: Safety, Family, Innovative, Inclusive, Accountable & Courageous. Together, we're building the future we all aspire to - making net zero a reality.
Role Overview
The Data Scientist Intern supports Mitsubishi Power's IT Data Platforms team by contributing to data quality, data cataloging, and automation efforts within enterprise data environments. This hands-on internship provides practical experience working with cloud-based data platforms, centralized data repositories, and Microsoft Power Platform tools. The role collaborates with Data Platforms leadership, Enterprise Applications, and IT stakeholders to support scalable, high-quality data solutions used across the business.
Key Responsibilities
  • Assist with data quality assessments across enterprise data sources, identifying gaps, inconsistencies, and improvement opportunities.
  • Support data catalog activities including documentation of datasets, metadata, data definitions, and lineage.
  • Validate, organize, and prepare ingested data within centralized platforms such as data lakes and structured repositories.
  • Contribute to automation efforts to surface data into Microsoft Power Apps and Power Automate workflows.
  • Perform data validation and reconciliation to ensure accuracy and completeness between source and ingested data.
  • Assist with development of basic dashboards, reports, and visualizations to support data visibility and usage.
  • Support testing and user acceptance activities to validate data processes and automation solutions.
  • Maintain tracking artifacts such as data quality logs, catalog trackers, and automation inventories.
  • Document data processes, standards, and learnings to support long-term platform sustainability.

Requirements
  • Assist with data quality assessments across enterprise data sources, identifying gaps, inconsistencies, and improvement opportunities.
  • Support data catalog activities including documentation of datasets, metadata, data definitions, and lineage.
  • Validate, organize, and prepare ingested data within centralized platforms such as data lakes and structured repositories.
  • Contribute to automation efforts to surface data into Microsoft Power Apps and Power Automate workflows.
  • Perform data validation and reconciliation to ensure accuracy and completeness between source and ingested data.
  • Assist with development of basic dashboards, reports, and visualizations to support data visibility and usage.
  • Support testing and user acceptance activities to validate data processes and automation solutions.
  • Maintain tracking artifacts such as data quality logs, catalog trackers, and automation inventories.
  • Document data processes, standards, and learnings to support long-term platform sustainability.

Learning Outcomes
  • Gain hands-on experience with enterprise data platforms, including data lakes and cloud-based environments, understanding how data supports business operations.
  • Develop core data skills in data quality, validation, cataloging, and metadata management using real-world datasets.
  • Apply analytics and automation tools such as Excel, SQL, and Microsoft Power Platform to support business processes and workflows.
  • Strengthen problem-solving and communication skills by working cross-functionally and translating data insights into clear, actionable outcomes.

Mitsubishi Power is an Equal Employment Opportunity (EEO) employer actively seeking to diversify the workforce and is committed to a policy of equal employment opportunity. Therefore, all qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally recognized protected basis under applicable law, are strongly encouraged to apply.

Apply