Data Engineering Intern

Fabletics • El Segundo, CA

5d • $18 - $22 • Hybrid

About The Position

Fabletics is seeking a Data Engineering Intern to support the development and improvement of data pipelines and analytics datasets. This role provides hands-on experience working with cloud data platforms, advanced ETL frameworks, and data replication systems that support data driven decision making across ecommerce and operations. The Intern Gig: We are looking for enthusiastic students with ambition to go far. Our full-time paid internship program will give you a chance to gain in-depth knowledge of what it is like to be a part of our fast-paced and innovative company. Our interns have the unique opportunity to gain real work experience, while participating in skill-building workshops and interactive social activities throughout the duration of the internship assignment. Our summer internship program will be in our El Segundo, CA headquarters and will run for 9 weeks from June 15th, 2026, through August 14th, 2026 . We operate on a hybrid work schedule where employees must be willing and able to work in-office Tuesday-Thursday each week, with the option to work remotely on Mondays and Fridays. We will not be considering remote or non-local applicants at this time. The hourly range for this position is $18.00-$22.00. The hourly rate offered will be dependent on factors including the scope and complexity of the role, candidate’s related work experience, subject matter expertise, and work location. 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 #LI-LS1 #LI-Fabletics Security Alert: Protect yourself from scams At Fabletics, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Fabletics emphasizes legitimate recruitment practices. Initial communication is primarily via official email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Teams or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means. Fabletics, Inc. is an equal opportunity employer. We recruit, employ, compensate, develop, and promote regardless of race, national origin, religion, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, and other protected status as required by applicable. At Fabletics, Inc., we champion a vibrant workplace culture that thrives on diversity law and do not tolerate discrimination or harassment. We are one team from many backgrounds, innovating through diversity of individuals, who are driven by passion for creating an inclusive space for all. Fabletics, Inc. will continue to champion a workplace culture that prizes diversity and inclusivity. We encourage you to apply regardless of meeting all qualifications and/or requirements.

Requirements

• Pursuing a degree in Computer Science, Data Engineering, Data Science, or a related field
• Strong SQL fundamentals
• Experience with Python or a similar programming language
• Understanding of modular programming concepts and clean code practices
• Familiarity with cloud data warehouses such as Snowflake
• Strong analytical and communication skills
• 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

Nice To Haves

• Academic projects or prior internship experience in data or software engineering
• Exposure to cloud based data platforms or ecommerce data

Responsibilities

• Understand the current ETL architecture and identify opportunities for more efficient and scalable solutions
• Help improve existing data pipelines and optimize them for performance and reliability
• Build and maintain ETL processes using modular, reusable programming patterns
• Gain hands-on experience with advanced ETL and data replication systems used in production environments
• Assist with evaluating, and supporting data connectors using tools such as Fivetran
• Assist with data quality checks, monitoring, and validation
• Collaborate with analytics engineers and data scientists to ensure data is accessible, maintainable, and well documented

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 1,001-5,000 employees