AI-Powered Analytics Engineer Intern

ID.me

Mountain View (CA)

On-site

USD 32,000 - 48,000

Full time

14 days+

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Job summary

ID.me is seeking an Analytics Engineer Intern to help apply AI across our data organization. You will build conversational analytics chatbots, automate data pipelines, and create detection agents that improve data quality and member experience.

Location is Mountain View, CA, onsite five days a week. You will collaborate with analytics engineers, data analysts, and data engineers and gain mentorship while delivering a real project with tangible impact.

Qualifications

  • Pursuing a Bachelor's degree in a quantitative field with expected graduation year 2028.
  • Interest in AI and large language models, including prompting and building simple applications.
  • 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
  • Automate data pipeline tasks such as 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 your work and present results and learnings to the team at the end of the internship

Skills

Python
SQL
AI/ML curiosity
Team collaboration

Education

Bachelor's degree in CS/SE/Data Science

Tools

Snowflake
dbt
Airflow

Job description

ID.me is seeking an Analytics Engineer Intern to help apply AI across our data organization. You will build conversational analytics chatbots, automate data pipelines, and create detection agents that improve data quality and member experience.

Location is Mountain View, CA, onsite five days a week. You will collaborate with analytics engineers, data analysts, and data engineers and gain mentorship while delivering a real project with tangible impact.

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