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. If you've ever wanted to build data pipelines at a scale that most companies only dream about, this is your chance.
Who You Are- Deep understanding of lakehouse architectures (Delta Lake, Iceberg, Hudi) and when to use them
- Experience building and operating large-scale distributed data processing pipelines
- Hands-on experience with streaming data systems (Kafka, Flink, or similar)
- Familiarity with Ray, Spark, or ClickHouse at production scale
- An obsessive focus on reliability and building systems that don't page you at 3am
Bonus- Experience with Lance or other vector-native storage formats
- Background in GPU-accelerated data processing (RAPIDS, cuDF)
What You Could Do- 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
Logistics- Location: This is an in-person opportunity in San Francisco.
- Visas: We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3). While we cannot guarantee your visa, we have historically been successful in sponsoring candidates from all over the world. If you receive an offer, our team will work hard to get you a visa.
- Benefits: We offer premium healthcare benefits (medical, dental, vision), fertility benefits, 16 weeks of fully paid parental leave for all new parents, and a monthly wellness stipend to all of our employees.
