Software Engineering Intern – Data Ingestion & Platform Infrastructure (Warsaw, Summer 2027)

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'll join one of two Warsaw teams working at the heart of Snowflake's platform:

• Data Ingestion: builds the high-throughput, low-latency pipelines that bring customer data into Snowflake at massive scale.
• Platform Infrastructure Engineering (PIE): builds and runs the core infrastructure, reliability and performance tooling that keeps Snowflake's services fast, scalable and resilient for every workload.

Responsibilities:

• Design, build and test features for production systems in data ingestion or platform infrastructure
• Write clean, well-tested, production-quality code in Java, C++, Go, Rust or Python
• Profile, benchmark and optimize systems where throughput, latency and reliability really matter
• Help improve observability, testing and automation, so that issues are found before customers notice them
• Take part in design discussions and code reviews with senior engineers
• Present your work to the wider Warsaw engineering team at the end of your internship

Requirements:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering or a related technical field
• Solid programming skills in at least one of: Java, C++, Go, Rust or Python
• Strong grasp of data structures, algorithms and software design principles
• Familiarity with Git and collaborative development workflows
• Strong problem-solving skills and attention to code quality
• Ability to communicate effectively in English (our working language)

Preferred qualifications:

• Coursework or project experience in distributed systems, operating systems, networking or databases
• Experience with streaming or messaging technologies (e.g., Kafka, Pulsar, Kinesis)
• Interest in performance engineering: profiling, benchmarking, concurrency and memory efficiency
• Familiarity with data formats and pipelines (Parquet, Avro, JSON, ETL/ELT)
• Exposure to Linux, containers or Kubernetes, and cloud platforms (AWS, Azure or GCP)
• Familiarity with observability: metrics, logging, tracing (e.g., OpenTelemetry)
• Familiarity with SQL and relational databases
• Open-source contributions or substantial personal or academic systems projects
• A previous software engineering internship

Benefits:

• Hands-on experience building systems that process data at very large scale in production
• Mentorship from senior engineers in a world-class engineering organization
• Deep exposure to distributed systems, performance engineering and cloud infrastructure
• Experience across the full software development lifecycle, from design and implementation to testing and release
• A network inside one of the fastest-growing cloud data companies in the world