Software Engineer, Data Transformation
Snowflake · DE-Berlin-Trion Building
About this role
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 Software Engineers for our Data Platform team to build and evolve Snowflake's real-time stream processing and data transformation platform. If you've built or researched high-throughput streaming systems or scalable transformation engines - in industry or graduate work - we want to talk. AS A SOFTWARE ENGINEER, DATA PLATFORM AT SNOWFLAKE, YOU WILL: - Design and implement low-latency stream processing and in-flight data transformation systems at global scale - Own correctness and performance of streaming execution (watermarks, exactly-once delivery, out-of-order handling) - Build transformation primitives and operators that run reliably at cloud-scale throughput - Contribute to architectural decisions for our next-generation streaming and transformation platform - Write production-quality systems code and collaborate across product and engineering teams OUR IDEAL CANDIDATE WILL HAVE: - BS/MS/PhD in Computer Science or related field - graduate research in streaming, distributed systems, or query/transformation engines is a strong differentiator - Deep distributed systems fundamentals: fault tolerance, consistency, state management - Hands-on or experience with stream processing or transformation systems (Flink, Kafka Streams, Spark Structured Streaming, or simila
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