Data Engineer I Co-op

Key Skills

Amazon Athena, Apache Airflow, AWS, AWS Glue, Azure, Data Warehousing, Database, Databricks, ETL frameworks, Python Programming, PyTorch, Snowflake, SoapUI, SQL, Supply Chain Management, Terraform

Job Description

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

The specific hourly range offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k.

We offer different types of insurance, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

Non-exempt hourly team members accrue paid time off (PTO) subject to manager approval. Non-exempt hourly team members in Fulfillment Centers and Customer Service are also eligible for additional unplanned unpaid time off (UTO). Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.

Pay Range

$34—$34 USD