Data Engineer, Trust & Safety - Remote

Overview

As a Data Engineer for Trust & Safety, you will be the engine behind the data backbone, ensuring reliable ingestion, low latency, and data correctness to support detection, tooling, and dashboards.

In Short

• Build and maintain ETL / streaming pipelines for logs and events.
• Work on aggregation and feature construction.
• Ensure data quality through alerting and schema validation.
• Optimize for low-latency queries.
• Collaborate with engineers to expose data in APIs.
• Instrument logging and observability in pipelines.
• Help build feature stores for models over time.

Requirements

• 3+ years of experience building data pipelines.
• Proficient in Python, SQL, and data infrastructure tools.
• Experience with data integrity and schema evolution.
• Deep understanding of performance and latency.
• Comfortable designing for failure and retries.
• Experience in fraud or security domains.
• Familiarity with real-time feature serving systems.

Benefits

• Fully remote work environment.
• Opportunity to work with a growing developer community.
• Backed by prominent investors.
• Focus on quality and innovation.