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Internship Data Management Jobs (NOW HIRING)

Lifeline MO

Internship

Kirksville, MO · On-site

$13.50 - $18/hr

Data Entry & Analysis - This internship opportunity will provide the Lifeline education programs with vital support in data management and data coding of student survey data. Internship tasks will ...

Lifeline MO

Internship

Kirksville, MO

$13.50 - $18/hr

Data Entry & Analysis - This internship opportunity will provide the Lifeline education programs with vital support in data management and data coding of student survey data. Internship tasks will ...

HUB

Master Data Management Engineer

Atlanta, GA

$110K - $132K/yr

... interns in close coordination with team Managers and Directors QUALIFICATIONS (REQUIRED AND ... GCP Professional Data Engineer certification is a plus * Knowledge of best practices in enterprise ...

Robert Half

Accounts Receivable Clerk

Los Angeles, CA · On-site

$17.10 - $19.80/hr

... manage multiple tasks in a part-time work schedule. * Effective written and verbal communication skills for collaborating with accounting and finance team members. * Previous office, internship, data ...

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Internship Data Management information

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How much do internship data management jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for internship data management 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 Management vs Data Analyst?

AspectInternship Data ManagementData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data, statistics, or related field
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time, professional environment, independent analysis
Employer & Industry UsageInternship programs in various industries, including tech, healthcare, financeBusiness, finance, marketing, healthcare, and more

Internship Data Management focuses on entry-level, supervised tasks related to organizing and maintaining data, often as part of an internship program. Data Analysts perform more advanced data interpretation, analysis, and reporting, usually requiring more experience and skills. Both roles are essential in data-driven industries but differ in scope, experience level, and responsibilities.

What kinds of projects or tasks do data management interns typically work on, and how do these contribute to larger team objectives?

As a Data Management intern, you can expect to work on tasks such as cleaning and organizing raw data, assisting with database updates, verifying data accuracy, and supporting data migration initiatives. These responsibilities are crucial for maintaining the integrity and usability of organizational data, which directly impacts analytics and decision-making processes. Interns often collaborate with data analysts, IT staff, and business teams, gaining hands-on experience with industry-standard tools while contributing to both short-term projects and ongoing data quality improvements.

What is an internship in data management?

An Internship in Data Management is a temporary position, usually for students or recent graduates, where individuals gain practical experience working with data. Interns assist in collecting, organizing, analyzing, and maintaining data within an organization. They often work with databases, data entry, reporting tools, and may help ensure data quality and security. The internship provides valuable hands-on experience, helps develop technical skills, and can serve as a pathway to a career in data management or related fields.

What are the key skills and qualifications needed to thrive as an internship data management professional, and why are they important?

To thrive in Internship Data Management, you need a solid understanding of data analysis, database concepts, and proficiency in Microsoft Excel or similar tools, often supported by coursework in statistics or computer science. Familiarity with data management systems like SQL or data visualization tools such as Tableau is highly beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills help interns manage data accurately and work collaboratively. These skills are essential to ensure data integrity, support decision-making, and contribute effectively to organizational data initiatives.
More about Internship Data Management jobs
What cities are hiring for Internship Data Management jobs? Cities with the most Internship Data Management job openings:
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Internship Data Management jobs near you
Infographic showing various Internship Data Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Posted 22 days ago

Job description

Application Deadline: September 1, 11:59 pm EST
Program Summary - Data Science & Technology Internship
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.
Responsibilities:
  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:
  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

Apply