Data Engineer Intern at Age of Learning in Glendale, CA (Hybrid)

Summary: Age of Learning is offering a part-time summer internship for undergraduate and graduate students to work on meaningful projects while gaining practical experience. The internship focuses on leveraging AI to enhance data workflows, where interns will collaborate with data engineers and analysts to build and maintain data pipelines and models. 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 Required 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 Required Skills: SQL, Data modeling, AI/ML tools Important Skills: Python, Modern data stack Nice-to-Have Skills: Analytical skills, Curiosity, Builder mindset, Cloud platforms, AI IDE, AI tools experience, Building tools