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Internship Data Migration Jobs (NOW HIRING)

Igus Bearings Inc

Engineering Intern- Fall 2026

Rumford, RI · On-site

$16.75 - $21.75/hr

This internship provides hands-on experience in engineering processes, CAD documentation, technical data migration, and product lifecycle management while working alongside experienced engineers in a ...

Igus Bearings Inc

Engineering Intern- Fall 2026

Rumford, RI · On-site

$16.75 - $21.75/hr

This internship provides hands-on experience in engineering processes, CAD documentation, technical data migration, and product lifecycle management while working alongside experienced engineers in a ...

Copart, Inc.

Database Engineering Intern

Dallas, TX · On-site

This internship will provide hands-on experience in database modeling, development, and maintenance ... data migration/conversion strategies for internally hosted applications. • Reference data ...

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Internship Data Migration information

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How much do internship data migration jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for internship data migration 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 the difference between Internship Data Migration vs Data Analyst?

AspectInternship Data MigrationData Analyst
Required CredentialsBasic understanding of databases, entry-level skillsBachelor's degree in related field, analytical skills
Work EnvironmentInternship setting, supervised tasks, project-basedOffice or remote, ongoing data analysis projects
Employer & Industry UsageInternship programs in IT, finance, healthcareCompanies across industries performing data analysis

Internship Data Migration typically involves assisting with transferring data between systems under supervision, focusing on learning and support. Data Analysts analyze data to derive insights, requiring more experience and skills. While internships are entry-level, data analysts often hold more advanced roles. Both roles are essential in data-driven industries but differ in scope and responsibilities.

What cities are hiring for Internship Data Migration jobs?

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

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What states have the most Internship Data Migration jobs?

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Internship Data Migration jobs near you

Data Engineer 2 - TS required - Washington DC area

Arlington, VA • On-site

Bow Wave LLC
See more jobs at Bow Wave LLCexternal

$80K - $85K/yr

Full-time

Posted 24 days ago

Job description

Education Requirement: Bachelor's Degree
Key Responsibilities:
• Assist in designing, developing, and maintaining basic ETL pipelines for ingesting, transforming, and loading datasets under the guidance of more experienced engineers.
• Support analysis of data structures, mappings, and data quality checks to identify issues or gaps.
• Help ensure data accuracy, consistency, and integrity by running validation queries, profiling datasets, and supporting data cleanup efforts.
• Contribute to data migration tasks, such as mapping source data to target systems and running migration scripts.
• Collaborate with analysts, data scientists, and business stakeholders to translate requirements into simple data transformations or pipeline updates.
• Monitor pipeline performance and assist in troubleshooting operational issues, escalating complex problems as needed.
• Help document data flows, transformation logic, and operational processes to support maintainability and knowledge sharing.
Required Skills & Experience
• 0-1 Years of Professional Experience
• Foundational exposure to data analysis, ETL concepts, or data migration activities-via coursework, internships, personal projects, or early professional experience.
• Working knowledge of SQL, including writing basic queries, joins, and aggregations.
• Familiarity with Python for data manipulation or automation tasks (introductory level acceptable).
• Introductory experience with ETL or workflow tools such as Apache Airflow, Talend, or similar platforms.
• Understanding of basic data warehousing concepts, such as staging, fact/dimension models, or schema structure.
• Exposure to cloud-based data storage or compute platforms (e.g., AWS S3/Redshift, Google BigQuery, Azure Storage).
Bonus / Preferred Qualifications
• Hands on or coursework experience with cloud ecosystems such as AWS, Azure, or Google Cloud Platform.
• Exposure to big data technologies (Hadoop, Spark, or distributed processing frameworks).
• Familiarity with data visualization tools (Power BI, Tableau, Looker) and version control systems such as Git.
• Experience building or supporting automated data workflows using orchestration tools or scheduled scripting.
Core Skills & Competencies
• Foundational ETL development and data pipeline understanding
• Data profiling and validation
• SQL and Python basics
• Understanding of data warehousing fundamentals
• Collaboration with analysts, engineers, and business stakeholders
• Problem solving mindset and willingness to learn
• Clear communication and strong documentation skills
• Adaptability in fast paced, evolving environments

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