Data Engineer

📋 Description Design and build the data pipelines that turn flow logs, cloud configuration, and Kubernetes data Own these pipelines in production: reliability, monitoring, data quality, and cost Make attribution provable: handle recycled identities, late and out-of-order data, and the places Engineer for cost: partitioning, incremental processing, and sampling that keep a scan-heavy Work closely with the engineers behind our Kubernetes collectors and graph engine, using AI tooling 🎯 Requirements 4+ years of experience in a Data Engineering role, building and running data pipelines over Experience building pipelines over raw cloud or network telemetry at scale (VPC Flow Logs Deep SQL: window functions, temporal joins, partitioning, and scan-cost control Cloud-native production experience (AWS or Azure) Experience owning a data pipeline end to end: design, production, operation, and cost Kubernetes familiarity (Pods, Services, networking) - advantage