Data Engineering Intern

Company OverviewAge of Learning®is the leading developer of engaging and effective Pre-K through 5th grade learning resources that help children build a strong foundation for academic success and a lifelong love of learning. The company’s research-based curriculum, developed by education experts, includes the award-winningABCmouse.com®Early Learning Academy, as well as the adaptive, personalized school solutions,My Math Academy®,My Reading Academy®, andMy Reading Academy Español. Having served over 50 million children worldwide, Age of Learning is a global leader in efforts to advance equity, access, and opportunity for all children. 
Summary:We’re looking for a curious, driven, and detail-oriented analytical Data Engineer Intern to join our Data team. In this role, you'll work closely with data engineers, analysts, and stakeholders across the business to build, optimize, and maintain the data pipelines and models that power insights and decision-making. You’ll gain hands-on experience with real-world data engineering workflows and tools, and receive mentorship from experienced data engineers and analysts. This internship offers exposure to the full data lifecycle—from ingestion to insight—and a deeper understanding of how data powers decision-making at a fast-paced company. It’s a great opportunity for someone who enjoys both coding and working with data, and wants to develop their skills in a collaborative, real-world environment.

Responsibilities:

• Support the development and maintenance of robust, scalable data pipelines (ETL/ELT) to ingest and transform data from various sources.
• Assist in building and refining data models in our data warehouse (e.g., Snowflake, Redshift, BigQuery) using tools like dbt.
• Partner with analysts and data scientists to understand data needs and deliver clean, reliable datasets.
• Write SQL queries to explore data and validate transformations.
• Help monitor data pipeline performance and troubleshoot issues.
• Document data flows and contribute to team knowledge sharing.

Minimum Qualifications:

• Currently pursuing a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field from an accredited university.
• Strong SQL skills and basic understanding of data modeling concepts.
• Some experience with Python or another scripting language.
• Interest in modern data stack tools like dbt, Airflow, Snowflake, or similar (hands-on experience a plus).
• Strong analytical and problem-solving skills.
• Detail-oriented, curious, and eager to learn.

Preferred Qualifications:

• Exposure to cloud platforms (AWS, GCP, or Azure).
• Experience with version control systems (e.g., Git).
• Familiarity with data visualization tools (e.g., Looker, Tableau, Power BI).

Total Compensation:The estimated compensation range for a new hire in this position is $21.00/hour to $25.00/hour USD. Compensation may vary depending on job-related factors, including knowledge, skills, experience, and location.
Age of Learning currently provides: • Team bonding events and a highly collaborative environment• Commitment to Equal Opportunity Employment in addition to an inclusive and supportive company culture • Access to our internal DEI Task Force that focuses on ensuring our products represent all children on a global scale
Security AdvisoryAt Age of Learning, we prioritize a safe recruitment process. Communication will come solely from official Age of Learning email addresses, @aofl.com, or our verified LinkedIn Recruiter accounts — be cautious of deviations. We will never request sensitive personal information during the early application stages. Interviews are conducted via phone, in person, or Zoom — never through messaging apps. Job offers are communicated verbally and followed by written documentation via Docusign. Any requests for personal information will occur through secure channels only.
An Equal Opportunity EmployerAge of Learning, Inc. (the “Company”) is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender expression, age, physical or mental disability, medical condition, pregnancy, veteran or military status, marital status, sexual orientation, gender identity, domestic partner status, genetic information, or any other legally-recognized protected basis under federal, state, or local laws, regulations, or ordinances. Age of Learning, Inc. (the “Company”) will consider qualified applicants with criminal histories pursuant to EEOC requirements and state applicable laws, e.g. New York City Fair Chance Act.
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