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Data Engineer Intern

Company Overview

Age 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:

This part-time summer internship offers undergraduate and graduate students the opportunity to work on meaningful, real-world projects while building practical experience in their field of study. If you’re eager to use your talents and creativity to help young learners build a strong foundation for academic success, this program provides a unique opportunity to do just that.

This internship will have a strong emphasis on leveraging AI to enhance data workflows and team productivity. You’ll explore how modern AI tools (e.g., LLMs, Cursor, Claude Code, automation frameworks) can accelerate development, improve data quality, and streamline analytics processes. 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 the modern data stack, while also building AI-powered tools from scratch. This is a great opportunity for someone who enjoys creating things, experimenting quickly, and applying AI in practical, impactful ways.

Responsibilities:

Design, build, and prototype AI-powered tools from scratch to improve data engineering and analytics workflows (e.g., dbt development, query generation, documentation, testing, monitoring)
Experiment with and evaluate AI/LLM-based approaches to accelerate development, improve data quality, and reduce manual effort
Identify opportunities to create new internal tools or automations that enhance team productivity, and take them from idea prototype iteration
Collaborate with data engineers, analysts, and stakeholders to turn ambiguous problems into practical, working solutions
Support the development, optimization, and maintenance of end-to-end data workflows—including pipelines, data models, and transformations—while ensuring data quality, reliability, and clear documentation

Minimum Qualifications:

Currently pursuing a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field from an accredited university
Must be available at least 25 hours per week for 10 weeks during the summer internship program
Must be able to work in a hybrid environment, with the ability to work in person at our Glendale, CA headquarters a minimum of two days per week
Strong SQL skills and basic understanding of data modeling concepts
Some experience with Python or another scripting language
Interest in AI/ML tools and a curiosity for applying AI to real-world problems
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 AI IDE (Cursor, Claude Code, Codex)
Hands-on experience with AI tools and LLM APIs (e.g., OpenAI, LangChain, etc.)
Experience building small tools, side projects, or automations (data or AI-related a plus)
Builder mindset: enjoys creating, experimenting, and iterating on ideas

Total Compensation:

The estimated hourly range for this position is $22.00 to $27.00 USD. Pay 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 Advisory

At 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 Employer

Age 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.

Employee/Applicant Privacy Notice

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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