Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more.
We’re hiring talented Software Engineers to join the Snowflake Query Processing team! This position will work directly with our engineering team to evolve our elastic, large scale, high-performance query engine. We need smart engineers who can pick up and understand complex technical areas quickly – and who are enthusiastic about building new technologies!
AS A QUERY PROCESSING ENGINEER AT SNOWFLAKE 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.
OUR IDEAL QUERY PROCESSING ENGINEER WILL HAVE:
1+ 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 San Mateo / 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.
Data warehouse design, database systems, and large-scale data processing solutions like Hadoop and Spark.
Large scale distributed systems, transactions and consistency models.
Big data storage technologies and their applications, e.g., HDFS, Cassandra, Columnar Databases, etc.
Why join the engineering team at Snowflake? Building new enterprise technologies is complex, and our engineering team surmounts the obstacles. As a member of our team, you will:
Build an industry-leading data management system that customers love.
Solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more!
Learn about and contribute to:
A super-robust and secure enterprise SaaS platform that services thousands of customers and hundreds of millions of queries every day.
A highly-scalable and reliable data processing platform that runs on hundreds and thousands of machines.
User interfaces bridging the enterprise world with the consumer experience.
Join a world-class team of both industry veterans and rising stars.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
Snowflake is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.