Data Engineer

Data Engineer — MiPrep AI

Build the technology behind someone’s next opportunity.

The product you’ll help build

MiPrep.ai brings the best AI interview copilot with personalized interview preparation and mock interviews into one platform. Built around a candidate’s resume and target job description and trained on over 30,000+ fortune 500 interviews to help people prepare the best answers while reflecting their own experience.

Job Overview

Behind every resume is experience worth communicating well. We’re building MiPrep.ai to help candidates bring that experience into their interviews with greater clarity and confidence.

MiPrep creates personalized questions and answer preparation from a candidate’s background and the role they’re pursuing. Candidates can rehearse aloud, review feedback and access interview support through its AI copilot.

We’re looking for a curious, motivated Data Engineer to contribute to the product’s development. You’ll work with teammates across product, design and engineering to turn ideas into useful experiences.

This paid internship offers hands-on experience in software and AI product engineering, alongside opportunities to learn through collaboration and practical problem-solving.

What You’ll Work On

• Build pipelines: Collect and transform product data into reliable datasets for analysis.
• Model data: Design tables and definitions that support consistent product and growth metrics.
• Improve quality: Validate events, investigate missing data and document data sources.
• Optimize workflows: Write efficient SQL and automate recurring data processing tasks.
• Collaborate on insights: Work with analysts and product teams to make data accessible and useful.

Why This Opportunity

You’ll gain hands-on experience designing dependable data pipelines and analytics foundations. Your work will help teams understand how candidates use MiPrep and improve the product.

Before You Apply

Get to know what we’re building at MiPrep.ai. Explore how MiPrep approaches interview preparation and consider what would make the experience more useful for someone preparing for their next role.

To apply, share your resume and any relevant GitHub projects or portfolio work through this listing.