Data Engineer II
Core
Build and scale cloud-native data infrastructure and pipelines for the Topps data engineering platform to support analytics and operational data products.
Role type
Mid-level hands-on data engineer
Builds
Cloud-native data pipelines, Snowflake data models, and operational tooling
Domain
Sports e-commerce and digital collectibles
Deliverable
production ML models
Required skills
Python, SQL, dbt, Snowflake, AWS, Terraform, NoSQL, data modeling
Preferred skills
Spark, Airflow, Shopify APIs
Responsibilities
Develop and maintain cloud-native data pipelines; Build and optimize data models in relational and NoSQL databases; Implement data quality and observability checks; Support Snowflake data modeling and Terraform RBAC projects; Collaborate with stakeholders to deliver data solutions; Participate in code reviews and documentation.
Seniority
Mid-level, hands-on IC