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Summer Intern 2027, Analytics Engineer Intern
ID.me University Recruiting
Mountain View, CA Fresher1h agovia Greenhouse
About the Role
ID.me is seeking a curious and data-driven Analytics Engineer Intern to help implement AI solutions within our data organization. This internship offers the opportunity to build conversational analytics chatbots, automate data pipelines, and develop detection agents to enhance data utilization and improve the member experience.
Location: Mountain View, California - onsite in office five days a week.
What You'll Work On
As an intern, you will own focused AI enablement projects, collaborating with analytics engineers, data analysts, and data engineers.
- Conversational analytics chatbots: Build chatbots to enable teams to query data in plain language and receive trusted answers.
- Data pipeline automation: Utilize AI-assisted tooling to automate and streamline data pipeline processes.
- Detection agents: Design agents to monitor data for anomalies, quality issues, and unusual patterns.
- Data architecture and domain-driven design: Explore AI's potential to enhance data models, documentation, and overall architecture.
Key Responsibilities
- Build and iterate on chatbot prototypes for conversational analytics on top of Snowflake and dbt models.
- Automate data pipeline tasks (testing, documentation, monitoring) using AI tools.
- Develop detection agents to identify data quality problems and anomalies.
- Apply domain-driven design principles to improve data models, metric definitions, and metadata.
- Partner with analysts, engineers, and data scientists to gather requirements and feedback.
- Document work and present findings and learnings to the team at the end of the internship.
Requirements & Tech Stack
- College junior with an expected graduation year of 2028, pursuing a Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics, Statistics, Math, or a related quantitative field.
- Students with a software engineering background interested in a data career are encouraged to apply.
- Interest in AI and large language models, including prompting and building simple applications.
- Basic understanding of data modeling and data warehousing concepts.