Co-op Opportunity 

Looking for a PAWsome co-op opportunity? The Chewy Campus Recruiting Team is seeking a motivated Data Engineer Co-op to join our growing team in our Bellevue, WA office location! 

As part of the Data Engineering team at Chewy, you will have the opportunity to gain hands-on experience by working on projects building data pipelines, ETL processes, and data warehouse management. The ideal candidate should have a strong curiosity about building and maintaining cloud databases, ingesting data using a variety of methods (including non-SQL technologies like SOAP and REST) and working on joining datasets from different cloud-based source systems in a centralized database. 

Co-op Timeframe:  June 2, 2025 – December 5, 2025 (must be available for the full duration) 

Qualified Students: Rising Seniors graduating in Spring 2026 

What You'll Do 

• Assist in the development and maintenance of data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse  

• Configure custom data pipelines within Snowflake/AWS/Databricks for ingestion into Data Mart 

• Design and implement solutions on a cloud platform using Infrastructure as code (Terraform) 

• Maintain, support, and develop within the Supply Chain - Transportation Data Mart Snowflake instance, including code build/review, auditing, performance tuning, and security 

• Build and maintain documentation and models for the Data Mart 

What You'll Need 

• Enrolled full-time in a Bachelor’s or Master’s degree program in Data Engineering, Data Analytics, Machine Learning, Mathematics, Engineering, or related field, with an anticipated graduation of Spring 2026 

• Excellent verbal and written communication skills and ability to explain complex concepts to non-expert partners in a simple manner 

• Current permanent U.S. work authorization required 

• Ability to work 40 hours a week, Monday through Friday 

Bonus 

• Proficiency in coding and data analysis using Python, PySpark, Airflow, SQL, Snowflake 

• Knowledge of AWS data toolset (Glue, Athena, EMR, EKS, etc.) and other data platforms like Databricks 

• Experience of translating ambiguous customer requirements into clear problem definitions and delivering them 

• Proven experience in the design and execution of analytical projects 

LI-DNI