Role Overview
Fanatics is building a leading global digital sports platform. The Data Engineer will design, build, and maintain scalable data pipelines using orchestration frameworks such as Airflow and Dagster to support reliable data ingestion and transformation across multiple upstream systems.
What You Will Do
The Data Engineer will develop and manage a centralized data platform that integrates diverse data sources, ensuring data quality, consistency, and availability for downstream consumption. They will also implement robust data modeling and transformation processes to structure raw data into curated datasets optimized for analytics and business use cases.
Why It Might Be a Fit
The ideal candidate will have experience collaborating with cross-functional stakeholders to translate business requirements into scalable analytical solutions, applying software engineering best practices to analytical codebases, and designing and developing data pipelines using Python and ETL processes.
Requirements
- Bachelor’s Degree or U.S. equivalent in Computer Science, Computer Engineering, Engineering Management, or a related field
- 4 years of professional experience as a Data Scientist, Data Analyst, or any occupation, job title, or position performing data-driven software engineering and analytics development
- 4 years of professional experience collaborating with cross functional stakeholders to translate business requirements into scalable analytical solutions
- 4 years of professional experience applying software engineering best practices to analytical codebases
- 3 years of professional experience writing complex SQL queries and performing data mining across large relational or cloud-based data warehouse environments
- 3 years of professional experience designing and developing data pipelines using Python and ETL processes
- 3 years of professional experience developing and optimizing data models, custom datasets, and data structures
- 3 years of professional experience designing and developing business intelligence dashboards and automated reporting solutions
- 3 years of professional experience maintaining and optimizing cloud-based data solutions within AWS environments
- 3 years of professional experience conducting statistical analyses, including hypothesis testing, regression analysis, and product experimentation
Benefits
- Dental insurance
- Vision insurance
- Medical insurance
- 401(k) or retirement plan
- Paid time off
- Paid holidays
- Salary: $162,300 – $182,300 per year
To apply for this job please visit job-boards.greenhouse.io.
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