Data Engineer Intern

Age of Learning • Glendale, CA

7d • $22 - $27 • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Number of Employees: 11-50 employees