Our Opportunity:

Chewy is seeking a Sr. Data Engineer III in Boston or Minneapolis. This person will be part of the Customer Interaction Datastore team 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.  Additionally, the candidate will have a strong customer first, embody a curious and think big approach to their work to help further innovation within the team, and be an engaged and respectful team member.

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:

• 7+ 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: Spark, PySpark, Scala, Docker, Databricks, 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 Java, Python, SQL
• 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