Our Opportunity:

Chewy is hiring a Senior Data Engineer for our Marketing Customer Engagement Platform team. Our engineering team is responsible for building and managing the tech stack supporting our Customer Relationship Marketing. The team is building platform capabilities and high performing data pipelines that are used to deliver highly personalized messages to our Pet Parents across Chewy’s on and off-site marketing channels (email, push, Chewy.com, Chewy app, social media handles). This person will be responsible for building a customer data platform in support of critical Enterprise Priorities.  The ideal candidate will have an interest in building data pipelines, an eye for data quality, and potentially a curiosity about or experience building APIs. 

What You’ll Do: 

• Develop and maintain complex data ingestion pipelines and transformations for data originating from multiple data sources (structured/unstructured)
• Assist in crafting proof of concepts and advise, consult, mentor, and coach other data engineering and analytics professionals on data standards
• Data cataloging and documentation of data sources
• Supervise data pipelines for accuracy, missing data, enhancements, changes, and billing volumes to ensure all data is assembled and processed accurately and when needed
• Build containerized applications with microservices architecture
• Reconcile data issues and alerts between various systems, finding opportunities to innovate and drive improvements.
• Work with multi-functional partners in defining and documenting requirements for building high-quality and impactful data products.
• Create operational reports using visualization/business intelligence tools.

What You’ll Need:

• 8+ years of proven experience in Data Engineering or Business Analytics roles working with ETL, Data Modeling, and Data Architecture, developing modem data pipelines and applications
• Expertise crafting and implementing enterprise data pipelines using data engineering approaches and tools including but not limited to:, Docker, Glue, cloud-native EDW (Snowflake, Redshift), Kafka, Athena
• Strong dimensional data modeling (Star, Snowflake) and ER modeling skills
• Proficiency building and maintaining infrastructure-as-code preferably with Terraform and AWS ecosystem
• Proficiency in SQL and one of Java, Python
• Experience with writing and reviewing version-controlled code (GitHub)
• Experience optimally presenting insights and summarizing sophisticated data to diverse audiences through visualizations.
• To be a self-starter with the ability to take initiative and drive projects forward independently.
• Experience working with and delivering to collaborators from multiple parts of the company.

Bonus:

• Some experience with API development
• Some experience with technologies like GraphQL, graph databases

Compensation & Benefits:

Our salary range for a Data Engineer III position is $134,500.00 - $215,000.00. The specific salary 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, and a new hire and annual equity grant.

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.

Salaried-exempt team members have unlimited PTO, subject to manager approval. 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.