Job Summary:
We are seeking an experienced Senior Data Engineer to join our Marketing Customer Engagement Platform team at Chewy. As a key member of our engineering team, you will be responsible for designing, building, and managing high-performing data pipelines and a customer data platform that supports critical Enterprise Priorities. If you have a passion for building data pipelines, ensuring data quality, and developing APIs, we want to hear from you.
Key Responsibilities:
- Develop and maintain complex data ingestion pipelines and transformations for data originating from multiple data sources (structured/unstructured)
- Craft proof of concepts and provide expertise, guidance, and mentorship to other data engineering and analytics professionals on data standards
- Catalog and document data sources to ensure data quality and integrity
- Supervise data pipelines for accuracy, missing data, enhancements, changes, and billing volumes to ensure timely and accurate data processing
- Build containerized applications with microservices architecture
- Reconcile data issues and alerts between various systems, identifying opportunities for innovation and improvement
- Collaborate with multi-functional partners to define and document requirements for building high-quality and impactful data products
- Create operational reports using visualization/business intelligence tools
Requirements:
- 8+ years of proven experience in Data Engineering or Business Analytics roles working with ETL, Data Modeling, and Data Architecture
- Expertise in crafting and implementing enterprise data pipelines using data engineering approaches and tools such as Docker, Glue, cloud-native EDW (Snowflake, Redshift), Kafka, Athena
- Strong dimensional data modeling (Star, Snowflake) and ER modeling skills
- Proficiency in 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)
- Excellent communication skills, with the ability to present insights and summarize sophisticated data to diverse audiences through visualizations
- 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
Preferred Qualifications:
- Experience with API development
- Familiarity with technologies like GraphQL, graph databases
Compensation and Benefits:
- Competitive salary range: $134,500.00 - $215,000.00
- 401k and equity grant opportunities
- Comprehensive insurance benefits, including medical, vision, dental, life, disability, and more
- Parental leave, family services benefits, backup dependent care, flexible spending accounts, and telemedicine
- Unlimited PTO, subject to manager approval, and six paid holidays per year
How to Apply:
If you are a motivated and experienced Senior Data Engineer looking for a new challenge, please click the link below to apply:
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