Data Engineer II
FANATICS COLLECTIBLES
Salary undisclosed
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Description
About Us
About Fanatics
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About Fanatics Collectibles
Fanatics Collectibles is the home of sports cards, trading cards, and collectibles for over 100 million fans worldwide. As part of the global Fanatics platform, we're rebuilding how collectors discover, buy, sell, and experience their hobby with world class technology and product experiences.
As part of Fanatics Collectibles’ continued global growth, we are establishing a new technology hub in Mexico City focused on operational excellence, platform scalability, trust, and customer experience. This team partners closely with Customer Experience (CX), Trust & Safety, Fraud Prevention, Payments, and Financial Operations organizations to build scalable systems and operational tooling that support millions of users and transactions globally.
The Role
As a Data Engineer II, you will 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.
- 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 (Gand 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
Basic 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** 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
Code-Writing Contribution
This is a hands-on engineering role. A successful TP2 Data Engineer will be expected to regularly write clean, maintainable code to support ingestion pipelines, transformation logic, and data validation. Contributions are typically reviewed by senior engineers and integrated into production workflows.
Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
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About this role
Fanatics Collectibles is establishing a technology hub in Mexico City, and this Data Engineer II role sits at the center of that expansion—supporting the Topps platform while building out the data infrastructure that powers a global collectibles marketplace serving over 100 million fans. You'll own greenfield systems and modern cloud-native architecture, working hands-on with Python, SQL, and dbt to develop data pipelines that integrate structured and unstructured sources, optimize Snowflake models, and ensure data quality at scale.
The position demands someone comfortable writing production code regularly—building ingestion pipelines, transformation logic, and validation checks that get reviewed by senior engineers and deployed into live workflows. You'll collaborate across data engineering, analytics, product, and business teams to translate their needs into scalable data solutions, while also contributing to Terraform-based infrastructure, Shopify API integrations, and AWS cloud tooling. This is a fast-paced, iterative environment where you'll continuously adapt new technologies and help establish engineering standards for a high-performing team.
You'll need at least two years of backend data systems experience, strong fundamentals in Python, SQL, and dbt, and hands-on familiarity with Snowflake performance tuning, cloud platforms (AWS preferred), and distributed processing tools like Spark or Airflow. A degree in Computer Science, Engineering, or equivalent practical experience is required. If you thrive in hands-on engineering roles and want to help scale infrastructure for a major sports platform, this is a concrete opportunity to make that impact from the ground up.
Typical pay for this role
$120,000
Typical range: $100,000 to $140,000
Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Data Engineer II postings in Ciudad de México, and analyze any offer before you accept it.
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