Data and Automation Engineer Intern

Launch Your Tech Career with Purpose

At Reli., we're not just processing 10,000+ eCommerce orders a day - we’re reimagining how data and automation scale business in real time. As a Data and Automation Engineering Intern, you won’t be stuck in the background. You’ll be front and center, building real tools, writing real code, and solving real problems that fuel operations for our high-impact partners like Marvel, Domino’s, and Lululemon.

This isn’t your average internship. It’s a 12-week launchpad designed to give you engineering superpowers (well, close enough).

We’re an Equal Opportunity Employer

Reli. celebrates diversity and is committed to creating an inclusive environment for all employees and interns. We welcome applications from all backgrounds and identities — even if you don’t check every single box. If this role excites you, we want to hear from you.

Program Perks Hybrid setup with real-life team energy (and snacks!) in Cerritos HQ Mentorship from experienced engineers and cross-functional exposure to marketing, product, and operations teams Dedicated feedback, learning moments, and space to grow Opportunity for future full-time offers

You’ll work with the team on core summer project, scoped to be meaningful, buildable, and demo-worthy by the end of the program. Alongside this, you’ll: Build Python-based tools that automate marketing, inventory, and operations workflows Engineer smart scripts that interact with Amazon Advertising and Seller APIs Analyze structured and unstructured data with tools like Pandas and NumPy Collaborate with engineers, marketers, and product folks in cross-functional sprints Present your final project to senior leaders and company-wide stakeholders

What You’ll Learn How data engineering powers daily decision-making at a scaling tech-driven company How to design for both humans and machines, building tools others rely on How real-world product cycles work: from ideation to deployment (and iteration!) How to communicate technical outcomes across teams

This is a learn-by-doing experience - mentorship included.

You Might Be a Fit If You’re: Currently pursuing a Bachelor’s in Computer Science, Data Science, Engineering, or a related field (Students on a quarter system is ideal) Curious, analytical, and driven to understand “why,” not just “how” Passionate about making tools that improve people’s workflows Comfortable coding in Python (even better if you've played with APIs or data manipulation libraries) Bonus points if you’ve ever built your own side project or explored automation just for fun