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.

About Snowflake

Snowflake delivers the AI Data Cloud, a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency and performance. Our Warsaw engineering hub is one of Snowflake's key global R&D centers. Its teams build core systems that move, store and serve data for customers around the world.

About the Teams

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. The scope covers batch and continuous loading (Snowpipe, Snowpipe Streaming) and integrations with the wider data ecosystem, such as Kafka connectors.

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.

You'll work alongside experienced engineers who design distributed systems that run at very large scale, every day.

What You'll Do

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

What We're Looking For

Required

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

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

What You'll Gain

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

Logistics

Location: Warsaw, Poland (Kasprzaka 4)

Duration: 3–6 months (summer internship)

Work model: Hybrid, a mix of in-office and remote work