Responsibilities
- Design and develop scalable ELT and ETL systems that process high-volume, complex data from various sources such as on-premise databases, ERPs, and external APIs, loading them into cloud data warehouses.
- Lead evaluations and improvements of current data processes by rewriting inefficient queries and data structures to lower latency and reduce costs in large-scale environments.
- Create and deploy automated data quality frameworks that include validation and testing to detect inconsistencies before they impact production systems or reporting tools.
- Build and manage data pipelines tailored for artificial intelligence use cases, including handling vector databases used in Retrieval-Augmented Generation and model inference workflows.
Compensation
The benefits package includes cost-free medical coverage, employer-funded HSA contributions, fertility benefits, fully paid parental leave, and a monthly lifestyle spending stipend to support employee well-being and financial health.
Work Arrangement
Hybrid
Other
The total rewards package supports employee protection and well-being, featuring a zero-premium medical plan, company HSA contributions, fertility assistance, fully paid parental leave, and a monthly lifestyle allowance, among other benefits.
