Software Engineer, Data Transformation

Responsibilities

• Design and implement scalable, high-throughput data processing systems
• Build and maintain real-time and batch data pipelines
• Collaborate cross-functionally with product, infrastructure, and data science teams
• Contribute to architectural decisions and technical roadmaps
• Write clean, tested, production-quality code at scale

Requirements

• BS/MS/PhD in Computer Science, Engineering, or related field
• Strong foundation in distributed systems, algorithms, and data structures
• Proficiency in Java, Scala, Python, or C++
• Experience with large-scale data systems or cloud platforms

Preferred Qualifications

• Experience with Apache Flink and/or Apache Spark
• Familiarity with AI-augmented software development practices using LLMs or Copilot
• Experience with Kafka, data lakehouse architectures, or SQL engines

About the Company

Snowflake is powering the era of the agentic enterprise, building large-scale distributed data systems that redefine how work gets done.