Senior Data Engineer: ETL, Data Platform & Analytics

Fanatics Collect; Sunnyvale (CA); Hybrid; USD 162,000 - 182,000; Full time

Job summary

Fanatics Collect is seeking a data engineer/scientist to design and maintain scalable data pipelines and a centralized data platform. You will collaborate with data scientists, analysts, and business stakeholders to ensure data quality and availability for analytics and decision-making.

You will implement ETL/ELT processes, build dashboards with Tableau/Looker/QuickSight, and optimize AWS-based data solutions in a fast-paced, global sports platform.

Qualifications

• Bachelor’s Degree in Computer Science, Computer Engineering, Engineering Management, or related field plus 4 years of data science/analytics development experience.
• 4 years collaborating with cross functional stakeholders to translate business requirements into scalable analytical solutions.
• 4 years applying software engineering best practices to analytical codebases including version control and code reviews.
• 3 years writing complex SQL queries and data mining across large data warehouses.
• 3 years developing data pipelines using Python (Pandas, PySpark) and ETL processes.
• 3 years developing and optimizing data models and datasets for analytics.
• 3 years designing BI dashboards and automated reporting (Tableau/Looker/QuickSight).
• 3 years maintaining and optimizing AWS-based data solutions; conducting statistical analyses for decision-making.

Responsibilities

• Design, build, and maintain scalable data pipelines using Airflow/Dagster to ingest and transform data across systems.
• Develop a centralized data platform integrating diverse data sources for analytics and business use cases.
• Implement ETL/ELT processes and robust data modeling for curated datasets.
• Enable self-service data access with semantic layers and AI-powered tools for business users.
• Collaborate with data scientists, analysts, and stakeholders to define data requirements and scalable solutions.
• Maintain monitoring, logging, and alerting for pipeline reliability and data integrity.
• Apply software engineering practices (CI/CD, version control, testing) in cloud environments.

Skills

Cross-functional collaboration

Team collaboration

Statistics

Data-driven software engineering

Git

CI/CD

Education

Bachelor’s Degree in CS/Engineering or related field

Tools

Airflow

Dagster

SQL

Python

Pandas

PySpark

Tableau

QuickSight

Looker

AWS

Git

Job description

Fanatics Collect is seeking a data engineer/scientist to design and maintain scalable data pipelines and a centralized data platform. You will collaborate with data scientists, analysts, and business stakeholders to ensure data quality and availability for analytics and decision-making.

You will implement ETL/ELT processes, build dashboards with Tableau/Looker/QuickSight, and optimize AWS-based data solutions in a fast-paced, global sports platform.