Data Engineer

You’ll be the engine behind Trust & Safety’s data backbone. Ensure ingestion is reliable, latency is low, data is correct — so that detection, tooling, and dashboards always have solid ground. In this role, you will build and maintain ETL / streaming pipelines for logs, events, metadata, attribution. You will also work on aggregation, feature construction, smoothing, and correctness layers. Ensure data quality through alerting, reconciliation, schema validation, and drift detection. Optimize for low-latency queries and data access patterns, partner with software engineers and analytics to expose data in APIs or internal tools and instrument logging and observability within your pipelines.