At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We’re hiring talented Software Engineers to join the Snowflake Database Engineering team! In this role you will work directly with our team to evolve our elastic, large scale, high-performance data processing system. We need smart engineers who can pick up and understand complex technical areas quickly – and who are enthusiastic about building new technologies!
AS A SOFTWARE 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.
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.
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
Skills Required
- 2+ years industry experience working on commercial or open-source software
- Fluency in Java or C++
- Familiarity with development in a Linux environment
- Strong CS fundamentals including data structures, algorithms, and distributed systems
- Systems programming skills including multi-threading and concurrency
- Experience with implementation testing, debugging, and documentation
- Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, or related field
- Ability to work on-site in Menlo Park, Bellevue, or Berlin office
- Masters or PhD in a relevant field
- SQL or other database technologies, internal design and implementation
- Query optimization, query execution, compiler design and implementation
- Experience with distributed key-value stores and storage engines (FoundationDB, RocksDB, InnoDB, BerkeleyDB)
- Experience with MySQL or PostgreSQL internals
- Data warehouse design and large-scale data processing solutions (Hadoop, Spark)
- Experience with large-scale distributed systems, transactions, and consistency models
- Experience in database replication technology
- Big data storage technologies (HDFS, Cassandra, Columnar Databases)
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Fair & Transparent Compensation — Pay is considered competitive across many roles, and the company highlights structured practices aimed at pay equity. Total compensation is often described as strong at senior levels when equity and bonuses are included.
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Equity Value & Accessibility — Equity grants and an ESPP are standard, making ownership accessible and a meaningful part of total rewards. New-hire RSUs and ongoing equity alongside bonus/commission programs are emphasized.
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Healthcare Strength — Comprehensive medical coverage is offered with programs like Lyra providing up to 25 no-cost therapy/coaching sessions, alongside HSA-eligible plans. Wellness resources and additional clinical programs (such as Omada for certain conditions) broaden the scope of support.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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