Intern - Engineering (Business Intelligence) at Microchip… · AZ -…

Summary: Microchip Technology Inc. is a global organization that designs technology powering the world. They are seeking an Intern to join their Business Intelligence team, where the role involves building backend services, internal tools, and data-driven applications while collaborating with experienced engineers. Responsibilities: - Work alongside experienced engineers on production-grade applications, cloud-adjacent infrastructure, and internal analytics platforms - Write code that ships, debug systems that matter, and present your work to stakeholders Required Qualifications: - Currently pursuing a degree in Computer Science, Computer Engineering, Information Systems, or a related field — candidates who have already completed their degree are not eligible - Hands-on experience with Python (Pandas, data wrangling, webapp development) - Hands-on experience with web application frameworks: Flask, FastAPI, or Streamlit - Hands-on experience with SQL and Excel for querying and manipulating structured data - Hands-on experience with Git for version control - Ability to read a dataset, form a hypothesis, and communicate what it means in plain English — producing actionable findings - Comfortably operating in a fast-paced environment where priorities can shift - Strong attention to detail and a bias toward impact over activity - Must be a U.S. Citizen — this position does not support visa sponsorship Preferred Qualifications: - Experience with Docker or containerized deployments - Experience using AI coding tools (Claude Code, GitHub Copilot, Codex, etc.) as part of a real development workflow - Exposure to BI tools (Tableau, Power BI, or similar), understanding how dashboards are built and consumed - Interest in how pricing, sales operations, or supply chain data drives business decisions Required Skills: Python, Pandas, Web application frameworks, Flask, FastAPI, Streamlit, SQL, Excel, Git, Docker, Containerized deployments, AI coding tools, Business Intelligence tools, Tableau, Power BI