Senior Data Engineer - Marketing Customer Engagement Platform
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:
Apply Now
Apply Now
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:
Apply Now
Apply Now