Where Data Does More. Join the Snowflake team.
We’re hiring talented Software Engineers to expand the Snowflake Stream Processing team here in Berlin, Germany and help us build the next generation of our data streaming products.
The Berlin team contributes to the core engineering of Snowpipe Streaming and Dynamic Tables, which enable our customers to ingest and transform data with low latency and high throughput. Some of the deep technical details of this work are covered in our recent SIGMOD papers (1, 2).
We need strong engineers who are enthusiastic about building new cutting-edge technologies, who look forward to tackling very complex problems in the area of distributed systems, query processing, stream processing and database internals. This role is a unique opportunity to make a significant impact on our elastic, large-scale and high-performance computing environment!
AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL:Collaborate with experienced engineers and product managers in a globally distributed team.
Help design, implement and improve the performance of new features and algorithms for our streaming data platform.
Write design documents and clean, reliable, and testable code in Java or C++.
Contribute to debugging, troubleshooting, and improving the performance of distributed systems.
Learn about large-scale infrastructure and how to build resilient, fault-tolerant services.
Be part of a team that’s delivering impactful, customer-facing features in a cloud-native environment.
Around 2-5 years of industry experience, or equivalent through internships and projects, or a completed PhD in a closely related discipline.
Master’s or PhD degree in Computer Science or a related field.
Solid understanding of data structures, algorithms and system design. Solid knowledge of database fundamentals.
Experience with Java, C++ or another modern programming language.
Curiosity and motivation to dive into large-scale systems, distributed computing, database internals and query processing.
Good communication skills and the ability to collaborate effectively in a team environment.
Contributing to other stream processing frameworks such as Apache Flink, Beam, or Spark Streaming.
Building other popular distributed databases or analytic systems; or a PhD focused on database internals, query processing and query compilation.
Backend infrastructure, especially at scale.
Concepts like consistency models, fault tolerance, and multi-tenant system design.
This is a rare opportunity to be part of a successful, growing team within Snowflake and make a real difference in how data is incrementally streamed, processed, and made useful in near real-time. You’ll get mentorship, growth opportunities, and the chance to make deep contributions to projects used by some of the largest organizations in the world - all while growing your skills alongside world-class engineers.
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
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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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