Data Engineering Intern

Ibotta is seeking a Data Engineering Intern to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. As a participant in our 2027 Summer Internship, you will have the opportunity to fully integrate with your team to directly contribute to ongoing Ibotta business initiatives. In addition to the daily time with your team, you will participate in ongoing teach outs curated to help build skills essential to transitioning into the workforce and building your career. We are looking for candidates who are eager to learn, excited to work on real-world business challenges, and want to be part of a mission-driven company.

 

This will be a full-time, 12 week, internship during the summer of 2027. This is a hybrid position located in Denver, Colorado and requires 3 days in-office per week. Required in-office hybrid days are Tuesday, Wednesday, and Thursday.

 

Candidates must live in the United States.

 

What you will be doing:

• Explore Next-Gen Secure Data Sharing: Learn, leverage, and gain practical experience building and supporting secure data sharing solutions across multi-cloud environments using privacy first Clean Rooms, open protocols, and cloud storage utilities.

• Automate & Scale Infrastructure: Build, maintain, and deploy reusable multi cloud infrastructure (Terraform) on AWS and Databricks Platform. Administer Databricks Unity Catalog to enforce unified governance, access controls, and asset discovery.

• Collaborate Across Engineering: Work alongside senior platform engineers, security, and internal domain teams to integrate downstream workflows smoothly into governed escrow endpoints

 

What we are looking for:

• Academic Background: Rising Juniors or Seniors working towards a Bachelor’s degree with a focus in Computer Science, Software Engineering, Data Engineering, Data Analytics, or a related technical field.

• Core Technical Foundations: Hands-on experience or coursework in Python, SQL, big data and or distributed systems

• Data Platform Interest: Exposure to relational databases, distributed data systems (Spark, Hadoop, Databricks), or modern cloud platforms (AWS, GCP, or Azure).

• Problem-Solving Mindset: Analytical and creative problem-solving skills with a desire to build reusable, "Build Once, Scale Many" automation rather than one-off scripts.

• Communication & Curiosity: Strong verbal and written communication skills with a hunger to collaborate, learn complex distributed architectures, and take ownership of projects.