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Rust emerges as a game-changing systems programming language, offering memory safety and blazing performance without garbage collection overhead. For data engineers, its zero-cost abstractions and robust type system make it ideal for building high-performance data processing pipelines and low-level infrastructure. Libraries like Apache Arrow and Datafusion leverage Rust's strengths for efficient data manipulation, outperforming traditional Python implementations. Concurrency is native, eliminating entire classes of threading bugs. While the steep learning curve deters some, Rust's compile-time guarantees and prevention of null/dangling pointer issues represent a quantum leap in reliable systems design. Perfect for performance-critical data infrastructure, distributed systems, and scenarios where predictability trumps rapid prototyping.

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Assistant Director - Analytics & Modeling @ moodys-corporation

US | 2025-12-28 | USD 139900 - 202750 / year
Moody’s is hiring into the Model Certification Products team to prototype and certify complex catastrophe, climate, and cyber models, with an emphasis on terabyte-scale streams and batch data. The... read more »
AI/ML, R, Python, C, C++, Rust, Arrow, Parquet, SQL, Amazon RDS, LLM, Data Science, Computer Science, API, Analytics
data scientist

Software Engineer, Infrastructure - Analytics @ openai

US | 2025-12-24 | USD 310000 - 460000 / year
OpenAI’s Scaling team position reads like a bridge job for data infrastructure: a generalist software engineer focused on distributed systems, data processing pipelines, and production... read more »
LLM, Analytics, AI/ML, Data Streaming, Kubernetes, Python, Rust, Kafka, Spark, Trino, Presto, Iceberg, Terraform, Cyber Security