Internship – Data Engineer, Commercial Audience Science (Spring 2027)
About The Position
The Data Engineering Intern will work with a team of data scientists and analysts to learn how to build and improve data sources that support business needs. In this role, the intern will gain hands-on experience working with both structured and unstructured data, helping to create scalable data pipelines and ensuring data is clean, reliable, and ready for analysis and machine learning. The intern will also get experience designing data workflows, running data quality checks, and supporting model development and deployment. Throughout the internship, they will learn best practices in data ingestion, data transformation, and data infrastructure. This experience will help the intern build practical skills in ETL pipelines, MLOps, and overall data engineering.
Requirements
- Coursework or experience with data engineering and data structures.
- Basic understanding of data architecture, databases, and data warehousing concepts.
- Experience with Python/R and SQL for data cleaning, manipulation, transformation, and validation.
- Familiarity with ETL processes.
- REST APIs, and building data pipelines.
- Proficient skill level in Microsoft Suite.
- Strong verbal, written, and presentation skills.
- In pursuit of an Associate, Bachelor or Graduate degree at an Accredited Institution with current class standing of Senior or above.
- Minimum cumulative 2.8 GPA is required.
- A transcript is required upon application.
Nice To Haves
- Experience with Big Data or distributed processing tools (e.g., Snowflake, Databricks, Spark, Hadoop).
- Experience with cloud platforms (e.g., Azure, AWS).
- Experience with data visualization platforms (e.g., Power BI, Tableau).
- Preferred majors include: Computer Science, Data Engineering, Data Science, Information Systems, or a related quantitative field.
Responsibilities
- Support data scientists and analysts by building, maintaining, and optimizing data pipelines that enable analytics, insights, and machine learning models.
- Help with ingesting, transforming, and validating structured and unstructured data, ensuring data quality, consistency, and availability.
- Develop and maintain reusable data assets, models, and workflows that make data accessible for business use cases.
- Participate in team meetings, code reviews, and learning sessions to build technical skills and understanding of real-world data platform development.
Benefits
- All of our internships are paid
- housing financial assistance if applicable
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What This Job Offers
Career Level
Intern
Education Level
Associate degree
