Summer Intern 2027 - Analytics Engineer Intern

ID.me University Recruiting•Mountain View, CA
•Onsite

About The Position

ID.me is seeking an Analytics Engineer Intern to develop AI-enabled tools for its data organization. The intern will build conversational analytics chatbots, automate data pipeline tasks, and create agents that detect data quality issues and unusual patterns. The role involves working on focused projects alongside analytics engineers, data analysts, and data engineers, with opportunities to contribute to data modeling, documentation, architecture, and domain-driven design. The internship is based in the Mountain View, California office and requires working onsite five days per week.

Requirements

  • Be a college junior with an expected graduation year of 2028, currently pursuing a bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics, Statistics, Math, or a related quantitative field.
  • Have an interest in AI and large language models, including prompting and building simple applications on top of them.
  • Have a basic understanding of data modeling and data warehousing concepts.

Responsibilities

  • Build and iterate on chatbot prototypes that support conversational analytics on top of Snowflake and dbt models.
  • Use AI tools to automate data pipeline tasks such as testing, documentation, and monitoring.
  • Develop detection agents that surface 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 understand needs and gather feedback.
  • Document work and present results and learnings to the team at the end of the internship.

Benefits

  • Mentorship from experienced analytics engineers.
  • Hands-on experience building AI-powered analytics tools on a modern data stack.
  • Opportunity to work on a real project with visible impact on how ID.me uses its data.
  • Exposure to data architecture, domain-driven design, and data governance in practice.
  • A portfolio-ready project to present to the team at the end of the internship.
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