Design, build, and operate production-grade realtime and batch pipelines
Ingest, process, validate, and deliver data powering user insights
Create shared datasets, fact tables, and internal data products
Prototype and build tooling to automate internal data workflows
Own data correctness end to end and lead root-cause analyses
Move across query engines and frameworks (BigQuery, Trino, Clickhouse, Flink, Kafka, Spark/Scalding)

🎯 Requirements

3+ years of professional software engineering experience, ideally in data engineering
Hands-on with Python, Rust, Scala, Go or Java, and data pipeline tooling
Experience with Spark/Kafka/Flink/SQL and RMDBs/NoSQL storage
Strong ability to translate product requirements into engineering plans

🎁 Benefits

Equity, comprehensive medical/vision/dental coverage
401(k) retirement plan, disability and life insurance
Various discounts and perks

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