Summer Intern 2027 - Analytics Engineer Intern

ID.me • Mountain View, CA

11h • Onsite

About The Position

ID.me is seeking an Analytics Engineer Intern to help apply AI across its data organization. The intern will work with analytics engineers, data analysts, and data engineers on focused AI enablement projects, building tools that help teams get trusted answers from data and improve the member experience. The role is based in the Mountain View, California office and is onsite five days per week.

The internship includes building conversational analytics chatbots, using AI-assisted tooling to automate data pipelines, developing agents to identify anomalies and data quality issues, and exploring how AI can improve data models, documentation, and data architecture. The intern will document their work and present results and learnings to the team at the end of the internship.

ID.me describes its in-office culture as supporting professional growth, mentorship, collaboration, and innovation. The company states that it provides equal employment opportunity and reasonable accommodation as required by applicable law.

Requirements

• Be a college junior with an expected graduation year of 2028.
• Currently pursue 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.

Nice To Haves

• Students with a software engineering background who want to build a career in data are encouraged to apply.

Responsibilities

• Build and iterate on chatbot prototypes for conversational analytics using Snowflake and dbt models.
• Automate data pipeline tasks, including testing, documentation, and monitoring, using AI tools.
• Develop detection agents that surface data quality problems and anomalies.
• Apply domain-driven design principles to help 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

• Hands-on experience building AI-powered analytics tools on a modern data stack.
• Mentorship from experienced analytics engineers.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern