Software Engineer, Data Transformation

Requirements

• 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 similar)
• Proficiency in Java, Scala, C++, or Python
• Familiarity with AI-native software engineering and agentic development workflows

Nice to Haves

• Published research or thesis in streaming, real-time transformation, or distributed computation
• Experience with stream processing engine internals (e.g., state backends, checkpointing, runtime, or operator development) in systems like Apache Flink, Spark Structured Streaming, or similar
• Experience with SQL engine internals: query optimization, execution plan design, storage formats, or transaction layers
• Familiarity with Spec Driven Development (SDD) and Test Driven Development (TDD)
• Familiarity with formal verification

What You'll Be Doing

• 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

Perks and Benefits

• Snowflake is growing fast, pushing the pace of innovation
• Opportunity to redefine the future of work
• Join a team of AI-native thinkers in a dynamic environment