Data Engineer - Scalable Pipelines & Analytics

Fanatics Commerce; Sunnyvale (TX); Hybrid; USD 162,000 - 182,000; Full time

Job summary

Fanatics is building a scalable data platform to empower analytics across its sports commerce ecosystem. The role focuses on designing and maintaining data pipelines and a centralized data layer that ingests data from APIs, databases, and partner systems.

Ideal candidates have a Bachelor's degree and 4+ years of experience with SQL, Python/PySpark, ETL, data modeling, and BI tools like Tableau, QuickSight, or Looker. The job is hybrid in Los Angeles with on-site work when not telecommuting.

Qualifications

• Bachelor’s degree plus 4 years of professional experience in data science or analytics.
• Experience translating business requirements into analytical solutions.
• Experience writing complex SQL queries and data mining in data warehouses.
• Experience building data pipelines with Python and ETL processes.
• Experience modeling data and creating curated datasets for analytics.
• Experience designing BI dashboards with SQL and visualization tools.

Responsibilities

• Design, build, and maintain scalable data pipelines using orchestration frameworks.
• Develop a centralized data platform integrating diverse data sources.
• Model data and create curated datasets for analytics.
• Enable self-service data access with data services and semantic layers.
• Collaborate with data scientists, analysts, and business stakeholders.
• Maintain monitoring, logging, and alerting for pipelines; apply CI/CD practices.

Skills

Cross-functional collaboration

Data storytelling

Statistical analysis

Problem solving

Education

Bachelor’s degree in CS/Engineering/related

Tools

Git

Python

PySpark

Pandas

SQL

Tableau

QuickSight

Looker

AWS

ETL

Job description

Fanatics is building a scalable data platform to empower analytics across its sports commerce ecosystem. The role focuses on designing and maintaining data pipelines and a centralized data layer that ingests data from APIs, databases, and partner systems.

Ideal candidates have a Bachelor's degree and 4+ years of experience with SQL, Python/PySpark, ETL, data modeling, and BI tools like Tableau, QuickSight, or Looker. The job is hybrid in Los Angeles with on-site work when not telecommuting.