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FullTime

Software Engineer - Database Engineering

US-CA-Menlo Park 3 months ago

AI overview

Software Engineer - Database Engineering at Snowflake in US-CA-Menlo Park focuses on AS A SOFTWARE ENGINEER, YOU WILL: Design, develop, and support a petabyte-scale cloud database that is highly parallel. Build high-quality and highly reliable software to meet the needs of some of the largest companies on the planet.

AS A SOFTWARE ENGINEER, YOU WILL:

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.

OUR IDEAL SOFTWARE ENGINEER WILL HAVE:

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.

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

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.