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Data Engineer Intern

Data Engineer (Telemetry & Data Infrastructure) Intern

Location: Remote
Internship Type: Part-time, 3–6 months
Team: Data / Infrastructure

🌐 www.fAIshion.AI


fAIshion builds a self-learning styling agent that sources items online and generates personalized, shoppable outfits based on your unique profile

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πŸ“Œ To be considered, please complete this form in addition to Handshake:
πŸ‘‰ https://forms.gle/ZtVd9vsiNcFnzLe99

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We’re looking for a Data Engineer Intern focused on Telemetry & Data Infrastructure to design and build scalable pipelines that collect, process, and unify user behavior data across our platform.

You will be responsible for ensuring high-quality, real-time data flows from frontend and backend systems into our analytics stack, enabling product, growth, and AI teams to make data-driven decisions.

Core Responsibilities

  • Design and implement end-to-end telemetry pipelines to capture user behavior across:
    • Frontend (React / JavaScript)
    • Backend services (Python / Node.js)
  • Build and maintain event tracking systems (e.g. user actions, session flows, feature usage)
  • Develop data pipelines (ETL/ELT) to process and store large-scale behavioral data
  • Ensure data quality, consistency, and reliability across multiple data sources
  • Integrate data into tools like Metabase / analytics dashboards / internal APIs
  • Optimize data collection for real-time analytics and experimentation
  • Collaborate with Product, Engineering, and Growth teams to define:
    • What data should be tracked
    • How to structure events for downstream analysis

Requirements

  • Currently pursuing or recently completed a degree in:
    • Computer Science
    • Data Engineering
    • Data Science
    • or related field
  • Experience with backend development or data engineering projects
  • Strong knowledge of:
    • SQL
    • Python
  • Familiar with:
    • Event tracking systems (Segment, RudderStack, etc. β€” optional but strong plus)
    • APIs and data pipelines
    • Cloud or data infrastructure basics
  • Understanding of:
    • Logging / telemetry systems
    • Data modeling and schema design
  • Detail-oriented, structured thinker, and comfortable working in a fast-paced startup

What You'll Gain

  • Build production-level data infrastructure from scratch
  • Work directly with founders and engineers on core system architecture
  • Exposure to:
    • Real-time data pipelines
    • User behavior tracking at scale
    • AI + e-commerce data systems
  • Your work will directly power:
    • Product decisions
    • Growth experiments
    • AI model improvements

πŸ“Œ To be considered, please complete this form in addition to Handshake:
πŸ‘‰ https://forms.gle/ZtVd9vsiNcFnzLe99

We’ll contact you via email after reviewing.