Software Engineer - Database Engineering

Responsibilities

• Design, develop, and support a petabyte-scale cloud database that is highly parallel and fault-tolerant.
• Build high-quality and highly reliable software to meet the needs of some of the largest companies on the planet.
• Analyze and understand performance and scalability bottlenecks in the system and solve them.
• Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions.
• Design and implement novel query optimization or distributed data processing algorithms which allow Snowflake to provide industry leading data warehousing capabilities.
• Design and implement the new service architecture required to enable the Snowflake Data Cloud.
• Develop tools for improving our customers' insights into their workloads.

Requirements

• 2+ years industry experience working on commercial or open-source software.
• Fluency in Java or C++.
• Familiarity with development in a Linux environment.
• Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems.
• Systems programming skills including multi-threading, concurrency, etc.
• Experience with implementation testing, debugging and documentation.
• Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering or related field; Masters or PhD preferred.
• Ability to work on-site in our Menlo Park / Bellevue / Berlin office.

Nice-to-Haves

• SQL or other database technologies including internal design and implementation.
• Query optimization, query execution, compiler design and implementation.
• Experience with internals of distributed key value stores like FoundationDB and storage engines like RocksDB, InnoDB, BerkeleyDB etc.
• Experience with MySQL, PostgreSQL internals.
• Data warehouse design, database systems, and large-scale data processing solutions like Hadoop and Spark.
• Large scale distributed systems, transactions and consistency models.
• Experience in database replication technology.
• Big data storage technologies and their applications, e.g., HDFS, Cassandra, Columnar Databases, etc.