Senior Software Engineer, Data Transformation

Requirements:

• 5+ years of software engineering experience in distributed systems, query engines, streaming infrastructure, or database internals (or equivalent, including research)
• BS/MS/PhD in Computer Science or related field - graduate research in streaming systems, query processing, or database engines is a strong differentiator
• Deep expertise in distributed systems: consistency, fault tolerance, replication, state management
• Hands-on experience with stream processing systems - building, operating, or extending them (industry or academic)
• Proficiency across multiple languages such as Java, Scala, C++, and Python, with a track record of production systems at scale
• Proficiency with AI-native software engineering and agentic development workflows
• Ability to lead complex technical projects independently with minimal direction

Nice to Haves:

• 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
• Published research or thesis work in streaming, real-time query processing, or distributed computation
• Contributions to open-source data infrastructure or database systems
• Familiarity with Spec Driven Development (SDD) and Test Driven Development (TDD)
• Familiarity with formal verification

What You'll Be Doing:

• Design and implement high-throughput stream processing systems with strong correctness guarantees - exactly-once semantics, out-of-order event handling, low-latency execution
• Work on database internals - query execution, operator design, storage engine components, or transaction processing at cloud scale
• Own features and systems end-to-end: design, implementation, testing, deployment, and production observability
• Drive architectural decisions that shape the long-term evolution of Snowflake's streaming and core platform layers
• Mentor engineers through design reviews, code reviews, and technical guidance
• Partner across product, infrastructure, and research teams to deliver high-impact, foundational capabilities

Perks and Benefits:

• 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