Job Summary
We're seeking an accomplished Data Engineer to drive the advancement of personalized search capabilities and data assimilation initiatives.
This is a remote role aligned with the EST time zone.
The ideal candidate will have extensive experience working with Python, Databricks, and Kafka, and contribute directly to ongoing data modernization efforts.
While the work isn't tied to critical systems, it's essential for advancing our long-term data strategy.
Key Responsibilities:
* Support FY26 initiatives focused on data-driven and personalized search experiences.
* Enhance current search and relevance models, which are presently generic and not tailored to individual users.
* Perform data assimilation related to athlete journey insights and integrate this information into downstream applications.
* Build and optimize data pipelines in collaboration with the broader Data Engineering team.
* Compile, transform, and prepare data for use across multiple business and technical functions.
Requirements
* Strong hands-on experience with:
* O Python
* O Databricks (minimum 2-3 years required)
* O Kafka
* Solid understanding of data engineering best practices and pipeline development.
Experience Requirements
* 5+ years of overall experience in data engineering or related fields.
* Proven experience designing, building, and maintaining scalable data pipelines.
* Strong problem-solving skills and the ability to work in cross-functional technical teams.