Data Engineer II

Fanatics Inc•New York, NY

43d•$122,000 - $168,000

About The Position

Fanatics Collectibles is transforming the trading card industry through innovative technology, data, and fan-first thinking. As a leading licensee and producer of physical and digital trading cards, we've partnered exclusively with the MLB, NFL, and NBA. Backed by Fanatics' global digital sports platform and 90M+ fans, we're building a marketplace, live streaming platform, and secure vaulting solution to reimagine the collector experience. We're seeking a Data Engineer II (TP2) to help scale and evolve our data infrastructure as we build greenfield systems and develop a modern, cloud-native data stack. This FTE role will be primarily dedicated to supporting the Topps data engineering platform. You will also contribute to Snowflake architecture, modeling, and optimization, ensuring strong foundations for analytics, business intelligence, and operational data products. This role is ideal for an engineer with 2+ years of experience who thrives in a collaborative, agile environment and is excited by the opportunity to directly impact the collectibles industry.

Requirements

Bachelor's degree 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 for data manipulation and pipeline development
Familiarity with Shopify APIs
Experience with Snowflake including performance tuning, schema design, and query optimization
Experience with cloud platforms (AWS preferred), 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
Comfortable working in a fast-paced environment with iterative product development

Responsibilities

Develop, deploy, and maintain components of cloud-native data pipelines, integrating a variety of structured and unstructured data sources
Build and optimize data models in relational and NoSQL databases to support scalable data access patterns
Implement and monitor data quality, observability, and reliability checks using modern best practices
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 closely with data engineers, analysts, product managers, and business stakeholders to understand data needs and deliver usable solutions
Participate in code reviews (GitHub) and adopt engineering standards aligned to a high-performing data engineering culture
Contribute to onboarding and documentation of data sources, transformations, and pipelines
Continuously learn and adapt new technologies to improve system performance and maintainability

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