The role involves leading the design, optimization, and scalability of high-performance OLAP systems, specifically architecting and optimizing distributed analytical databases like ClickHouse to handle multi-terabyte datasets. Additionally, the engineer will mentor teams on best practices for data modeling, query optimization, and ensuring system reliability for advanced AI workloads.

The intern will partner with customers and internal teams to extract data from the core platform, guiding client adoption of data management offerings. Day-to-day tasks involve understanding data distribution requirements, performing data analysis and mapping, building extracts and scripts, and optimizing their performance.

Genius is looking for a remote Senior Data Engineer to help build the ultimate music companion. Overseeing millions of pages of lyrics, annotations, and music metadata, your work will power Genius.com, our public API, and our partner integrations, with no shortage of interesting ...

Design, develop, and maintain scalable data pipelines using Airflow; Create and optimize tables in Athena, ensuring efficient query performance and cost-effectiveness; Write and manage SQL transformations in DBT, building reusable and well-documented models; Optimize data workflo...