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Snowflake

Runs a cloud platform for business data and AI

Software Engineer - Database Engineering

Backend EngineeringConfirmed live in the last 24 hours
Full-time$160k - $230k /yr

About the Job

Requirements

  • At least 2 years of industry experience working on commercial or open-source software.
  • Fluency in Java or C++.
  • Familiarity with development in a Linux environment.
  • Strong computer science fundamentals, including data structures, algorithms, and distributed systems.
  • Systems programming skills, including multithreading and concurrency.
  • Experience with implementation testing, debugging, and documentation.
  • A bachelor's degree or foreign equivalent in Computer Science, Software Engineering, or a related field is required.
  • Ability to work on-site in the Menlo Park, Bellevue, or Berlin office.
  • Employees must follow the company's confidentiality and security standards for handling sensitive data and comply with its data security plan to protect customer information.

Responsibilities

  • Design, develop, and support a petabyte-scale cloud database that is highly parallel and fault-tolerant.
  • Build high-quality, reliable software to meet the needs of large companies.
  • Analyze system performance and scalability bottlenecks and solve them.
  • Identify problems, instrument relevant components as needed, and implement solutions.
  • Design and implement query optimization or distributed data processing algorithms to support data warehousing capabilities.
  • Design and implement the new service architecture required to enable the Snowflake Data Cloud.
  • Develop tools that improve customers' insight into their workloads.

Desired Qualifications

  • A master's or PhD degree is preferred.
  • Experience with SQL or other database technologies, including internal design and implementation.
  • Experience with query optimization, query execution, and compiler design and implementation.
  • Experience with internals of distributed key-value stores such as FoundationDB and storage engines such as RocksDB, InnoDB, and BerkeleyDB.
  • Experience with MySQL and PostgreSQL internals.
  • Experience with data warehouse design, database systems, and large-scale data processing solutions such as Hadoop and Spark.
  • Experience with large-scale distributed systems, transactions, and consistency models.
  • Experience in database replication technology.
  • Experience with big data storage technologies and their applications, such as HDFS, Cassandra, and columnar databases.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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