A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Spark to support diverse workloads ranging from ETL to data science.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:

Query compilation and optimization
Distributed query execution and scheduling
Vectorized execution engine
Data security
Resource management
Transaction coordination
Efficient storage structures (encodings, indexes)
Automatic physical data optimization

What we look for:

A passion for database systems, storage systems, distributed systems, language design, or performance optimization
Experience working towards a multi-year vision with incremental deliverables
Motivated by delivering customer value and impact
3+ years of experience working in a related system (preferred)
Optional: PhD in databases or distributed systems

Benefits

Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance