Database Engineer, Open Data Analytics Engines - Spark Engine Performance

AWS is seeking an experienced database engineer to join their analytics team's core engines group. This role focuses on enhancing Athena and EMR services, which leverage open-source engines like Trino and Spark for large-scale analytics. Over the past three years, the team has achieved impressive 5x performance improvements through optimizations in query runtime, storage connectors, and compiler modifications. This position represents a strategic opportunity in a growing technical space.

The role involves working with serverless environments and making significant contributions to query engine performance and scalability. AWS values diverse experiences and maintains an inclusive culture that celebrates knowledge-sharing and mentorship. The team comprises various experience levels and focuses on career growth through meaningful project assignments.

As part of AWS's Utility Computing organization, you'll contribute to the development of foundational services like S3 and EC2, while supporting specialized security solutions for cloud services. The position offers opportunities to work with cutting-edge technology while being part of a team that values work-life harmony and professional development.

AWS is known for pioneering cloud computing and maintains a culture of continuous innovation. The company provides robust support for new team members through mentorship, thorough code reviews, and ongoing learning experiences. They actively promote diversity through employee-led affinity groups and various initiatives like Conversations on Race and Ethnicity (CORE) and AmazeCon conferences.

This role is ideal for candidates with strong database engineering experience who are passionate about performance optimization and want to work on large-scale systems that impact millions of customers worldwide. Even candidates with non-traditional backgrounds are encouraged to apply, as AWS values diverse perspectives and experiences.