Data Engineer, Ring AI Data Management

Ring AI Data Management is seeking a Data Engineer to join their team working on one of the largest and most complex data warehouse environments. As part of the Ring AI Data Management team, you'll be responsible for leading the design and implementation of data warehouse solutions for the Enterprise using multiple platforms. The team owns tools and services for Ring's growing ML-based R&D needs, including centralized R&D data ingestion, aggregation, and building standardized data models for performance management.

The role involves working closely with engineering and business stakeholders to understand data requirements and implement sophisticated data solutions. You'll be responsible for designing and implementing large-scale datasets, creating efficient ETL/ELT pipelines, and ensuring robust data architecture. The position requires expertise in SQL, programming languages like Python or Java, and extensive experience with AWS services.

The ideal candidate will have a strong background in data warehousing, experience with big data technologies, and the ability to provide technical leadership. You'll be part of a team that values quick decision-making and bias for action, working in an environment that emphasizes collaboration and innovation. This is an excellent opportunity for someone passionate about data engineering who wants to work on cutting-edge AI and machine learning applications while contributing to Ring's R&D initiatives.

The role offers the chance to work with modern data technologies and architectures while being part of Amazon's broader ecosystem. You'll have the opportunity to influence the direction of data engineering practices and mentor other engineers while working on solutions that directly impact Ring's product development and innovation.