Software Engineer (Distributed Data Systems)

As a Data Engineer, you’ll architect and build the data infrastructure that powers everything we do—from crawling billions of pages to training our embedding models to serving real-time search

You’ll have enormous autonomy in designing systems that scale to hundreds of petabytes

Design a lakehouse architecture that handles 100+ PB of web crawl data

Build streaming pipelines that process billions of documents per day for real-time indexing

Architect the data layer for our embedding training infrastructure on Ray

Scale our ClickHouse deployment to handle analytical queries across petabytes of search logs- If you’ve ever wanted to build data pipelines at a scale that most companies only dream about, this is your chance

An obsessive focus on reliability and building systems that don’t page you at 3am

Familiarity with Ray, Spark, or ClickHouse at production scale

Deep understanding of lakehouse architectures (Delta Lake, Iceberg, Hudi) and when to use them

Hands-on experience with streaming data systems (Kafka, Flink, or similar)

Experience building and operating large-scale distributed data processing pipelines

Experience with Lance or other vector-native storage formats

Background in GPU-accelerated data processing (RAPIDS, cuDF)