Senior Software Engineer - Database Engineering at Snowflake

Bellevue, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

287500.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, C++, Problem-Solving, Computer Science Fundamentals, Data Structures, Algorithms, Distributed Systems, Systems Programming, Multi-Threading, Concurrency, Implementation Testing, Debugging, Documentation, SQL, Database Technologies, Query Optimization

Industry

Software Development

Description

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level. We are seeking a highly talented and experienced Software Engineer to join our Database Engineering team. In this role, you will be a key contributor to the evolution of our core product: an elastic, large-scale, high-performance data processing system. We are looking for smart, enthusiastic engineers who can quickly master complex technical areas and are passionate about building new, industry-leading technologies. AS A SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Design and implement novel query optimization or distributed data processing algorithms to maintain Snowflake's industry-leading data warehousing capabilities. Design, develop, and support a petabyte-scale cloud database system, ensuring it is highly parallel and fault-tolerant. Develop and implement the new service architecture required to enable the next generation of the Snowflake Data Cloud. Analyze, understand, and resolve complex performance and scalability bottlenecks within the system. Own the end-to-end delivery of your projects, including identifying solutions, design, implementation, rigorous testing, and safe production rollout. Ensure operational readiness and execute production operations of services, meeting our customer commitments for durability, availability, and performance. Build high-quality, highly reliable software that meets the demands of the world's largest companies. Develop tools to provide customers with greater insight into their workloads. Evangelize best practices for database usage and end-to-end system architecture. Mentor and support the professional growth of junior engineers on the team. OUR IDEAL SOFTWARE ENGINEER WILL HAVE: 5+ years of industry experience working on commercial or open-source software. Strong fluency in Java or C++. Excellent problem-solving skills and a deep understanding of Computer Science fundamentals, including data structures, algorithms, and distributed systems. Strong systems programming skills, including experience with multi-threading and concurrency. A solid foundation in distributed systems concepts (e.g., consistency, scaling, failure recovery). Experience with implementation testing, debugging, and documentation , specifically within a Linux development environment. Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering, or a related field. 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. Experience in database replication technology Big data storage technologies and their applications, e.g., HDFS, Cassandra, Columnar Databases, etc. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. 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? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: The estimated base salary range for this role is $200,000 - $287,500. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Responsibilities

Design and implement novel query optimization or distributed data processing algorithms to maintain Snowflake's data warehousing capabilities. Analyze and resolve complex performance and scalability bottlenecks within the system while ensuring operational readiness and executing production operations.