1,851,491open jobs
108,759companies
258,783added this week
Browse all
Salary
≈ $32k – $87k per year (Estimated)
Location
In office (Mexico City)
Seniority
Middle · 2+ years exp

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Sep 28, 2026. Fanatics Collectibles scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Fanatics Collectibles is a physical and digital sports memorabilia and trading card company headquartered in New York. Operating as a division of sports platform Fanatics, Inc., the company designs and distributes collectible products under iconic brands such as Topps. It holds exclusive long-term licensing agreements with major professional sports leagues - including MLB, the NFL, and the NBA - to engage collectors and fans worldwide.

About Us

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

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

By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it  here.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,851,491 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science
Similar stack
Same company
Mexico City
≈ $43k – $110k per year (Estimated) • Hybrid • Full-Time • Bachelor's Degree • Cuauhtémoc
Python
Java
C++
C++
TensorFlow C++
PyTorch C++
AI/ML
Model Context Protocol
NLP
TensorFlow
NumPy
Keras
PyTorch
Machine Learning
DevOps
Git
Apply
≈ $34k – $91k per year (Estimated) • Hybrid • Full-Time • 3+ years exp • Bachelor's Degree • Cuauhtémoc
Python
Python
pySpark
AI/ML
Spark
Analytics
Looker
Apply
Data Engineering 6 days ago
Remote (Mexico) • Full-Time • Mexico City
Databases
PostgreSQL
Weaviate
Db2
Databricks
Milvus
Pinecone
AI/ML
Embeddings
AI Agents
RAG
Knowledge Graph
LLM Guardrails
DevOps
GCP
Azure
CI/CD
AWS
GitHub
Analytics
ETL/ELT
Apply
In office • Mexico City
Python
JavaScript
PHP
TypeScript
SQL
Node JS
Python
Django
Databases
MySQL
PostgreSQL
AI/ML
Spark
Machine Learning
Frontend
Angular
DevOps
GCP
Azure
Bitbucket
Apply
In office • Mexico City
Python
PHP
SQL
SAS
Databases
MySQL
PostgreSQL
AI/ML
Spark
Machine Learning
DevOps
GCP
Analytics
Tableau
Apply
≈ $97k – $214k per year (Estimated) • In office • 7+ years exp • Bachelor's Degree • Coppell
SQL
Databases
Snowflake
Google BigQuery
BigQuery
Analytics
Tableau
Power BI
Apply
≈ $67k – $135k per year (Estimated) • Hybrid • Full-Time • Sydney
Python
SQL
PowerShell
Databases
MySQL
PostgreSQL
Redis
Oracle
Cassandra
MS SQL
Azure SQL Database
DevOps
GCP
Azure
Analytics
ETL/ELT
Management
Agile
ITIL
Apply
≈ $125k – $239k per year (Estimated) • In office • 5+ years exp • PhD • Lone Tree
Python
SQL
C++
AI/ML
Time Series Forecasting
Machine Learning
Apply
In office • Full-Time • Sydney
Python
PowerShell
DevOps
Azure
AWS
Cybersecurity
ISO 27001
GDPR
SIEM
Apply
Penetration Tester 3 days ago
In office • Full-Time • Sydney
Python
Ruby
PowerShell
Bash
AI/ML
Red Teaming
DevOps
GCP
Azure
AWS
Linux
Windows
Cybersecurity
Burp Suite
Metasploit
Nmap
Nessus
Cobalt Strike
ISO 27001
OWASP Top 10
CVE
CVSS
Apply
Data Engineer 6 days ago
$162k – $182k per year • In office • 4+ years exp • Bachelor's Degree • Sunnyvale
Python
SQL
Python
pySpark
AI/ML
Spark
Dagster
Pandas
DevOps
CI/CD
Git
AWS
Analytics
Tableau
ETL/ELT
Looker
Apply
≈ $87k – $173k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Sunnyvale
Apply
≈ $87k – $173k per year (Estimated) • In office • 7+ years exp • Bachelor's Degree • Sunnyvale
AI/ML
PyTorch
Ignite
Apply
Manufacturing Lead 3 days ago
≈ $100k – $203k per year (Estimated) • In office • 2+ years exp • High School Diploma • Sunnyvale
AI/ML
PyTorch
Ignite
Management
Microsoft Office
Apply
≈ $74k – $135k per year (Estimated) • In office • 3+ years exp • High School Diploma • Sunnyvale
AI/ML
PyTorch
Ignite
Apply
Data Scientist 3 days ago
≈ $45k – $116k per year (Estimated) • Equity • Remote (Mexico) • Full-Time • 5+ years exp • PhD • Mexico City
Python
SQL
AI/ML
Spark
dbt
Analytics
A/B Testing
Apply
In office • 4+ years exp • Bachelor's Degree • Mexico City
Apply
≈ $56k – $124k per year (Estimated) • In office • 4+ years exp • Mexico City
AI/ML
Tokenization
DevOps
FinOps
Apply
≈ $41k – $92k per year (Estimated) • Equity • Hybrid • Full-Time • 10+ years exp • Bachelor's Degree • Mexico City
Management
Outlook
OneDrive
SharePoint
Apply
≈ $27k – $61k per year (Estimated) • Remote (Mexico) • Full-Time • Mexico City
DevOps
GCP
Apply
See all jobs
This is one of many
1,851,491 more open roles from verified company boards, updated every day.