Rust for Data Engineering is a hands-on specialization that teaches you how to build production-grade data systems in Rust — from terminal tools and ETL pipelines to serverless functions, SQL and NoSQL data stores, and full CI/CD shipping workflows on GCP and beyond. You will move from knowing some Rust to confidently shipping a data pipeline that handles real workloads, runs in a container, and survives production. Each course is short, project-driven, and codes-along: you write real Rust against real data, with snapshot tests, observability, and reproducible builds. By the end you will have a portfolio of small but production-shaped projects — bash-to-Rust rewrites, Polars data jobs, SQL-backed services, ETL workflows, serverless handlers, RAG pipelines, TUI tools, and GCP deployments — and the engineering muscles to extend any of them into a real system at work.
What you'll learn
Build and deploy data pipelines
Implement ETL workflows in Rust
Use both SQL and NoSQL data stores
Create serverless functions
Develop reproducible builds and snapshot tests
Course objectives
Teach practical Rust programming for data engineering
Guide students in building production-grade data systems
Help students create a portfolio of real-world projects