Data Engineer II

The role

You will scale and evolve data infrastructure by building greenfield systems and a modern, cloud-native data stack. This role supports the Topps data engineering platform and contributes to Snowflake architecture, modeling, and optimization.

What you will do

• Develop, deploy, and maintain components of cloud-native data pipelines
• Build and optimize data models in relational and NoSQL databases
• Implement and monitor data quality, observability, and reliability checks
• Support and enhance Snowflake data modeling for Topps-related datasets and analytics pipelines via Shopify APIs
• Support and enhance Terraform project for Snowflake RBAC
• Collaborate with data engineers, analysts, product managers, and business stakeholders
• Participate in code reviews
• Contribute to onboarding and documentation of data sources, transformations, and pipelines
• Write clean, maintainable code to support ingestion pipelines, transformation logic, and data validation

Required qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent practical experience
• 2+ years of experience in data engineering or software engineering roles with a focus on backend data systems
• Proficiency in Python, SQL, and dbt
• Familiarity with Shopify APIs
• Experience with Snowflake including performance tuning, schema design, and query optimization
• Experience with cloud platforms, and tools like Lambda, S3, Glue, or similar
• Familiarity with distributed data processing tools (e.g., Spark, Airflow) and modern orchestration
• Working knowledge of both SQL and NoSQL databases and data modeling techniques

Nice to have

• AWS preferred

About the company

Fanatics is building a leading global digital sports platform. Fanatics Collectibles is the home of sports cards, trading cards, and collectibles for over 100 million fans worldwide.