Data-Streaming & Automation Engineering Intern
About The Position
Fabletics is currently looking for a Data-Streaming & Automation Engineering Intern (Summer 2026). How do you fit in? Fabletics is a global activewear brand, operating a highly data-driven business that relies on real-time systems to power analytics, personalization, and operational decision-making. Our engineering teams build and maintain platforms that handle high-volume data streams, automation, and experimentation across commerce and customer experiences. As the Data-Streaming & Automation Engineer Intern , you will support the real-time data platforms during the summer. This role is ideal for a student interested in backend systems, data pipelines, automation, and modern AI-assisted workflows. You’ll work alongside experienced engineers on real production systems using Apache Kafka, managed cloud services, stream processing frameworks, and selective AI/LLM-based tools.
Requirements
- Rising junior or senior pursuing a Bachelor’s degree in Computer Science, Engineering, or related field.
- Experience with at least one programming language (Go, Java, or similar).
- Curiosity about AI-assisted development and modern engineering workflows.
- Interest in real-time data management and/or automation processes.
- YOU MUST BE A RISING JUNIOR OR RISING SENIOR (graduating in 2027 or 2028) UNDERGRADUATE STUDENT ENROLLED AT AN ACCREDITED UNIVERSITY TO BE CONSIDERED FOR THIS INTERNSHIP
Responsibilities
- Assist with support and troubleshooting of Kafka-based data pipelines.
- Learn how managed Kafka platforms are administered (topics, permissions, environments).
- Use AI to help build and modify stream-processing logic and data workflows.
- Explore and apply AI/LLM tools where appropriate for data transformation and automation.
- Contribute to documentation and improve operational clarity.
- Collaborate with engineers through standard version control and task-tracking workflows.
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What This Job Offers
Career Level
Intern
Number of Employees
1,001-5,000 employees
