Data Engineer – Trust & Safety

October 2

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Resend

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SaaS • API • B2B

Resend is a developer-focused email platform designed to deliver transactional and marketing emails at scale. Its simple and elegant interface, along with SDKs for various programming languages, allows for seamless integration into developers' workflows. Companies of all sizes trust Resend for reliable email delivery, helping them reach humans instead of spam folders. The platform offers features like modular webhooks, contact management, broadcast analytics, and a powerful editor for creating beautiful email templates using React. Resend also provides insights into email interactions, secure domain authentication, and dedicated IP management to enhance deliverability.

2 - 10 employees

Founded 2022

☁️ SaaS

🔌 API

🤝 B2B

💰 $3M Seed Round on 2023-07

📋 Description

• Build and maintain ETL / streaming pipelines for logs, events, metadata, attribution • Work on aggregation, feature construction, smoothing, and correctness layers • Ensure data quality: alerting, reconciliation, schema validation, drift detection • Optimize for low-latency queries and data access patterns used by enforcement engines and dashboards • Partner with software engineers and analytics to expose data in APIs or internal tools • Instrument logging and observability within your pipelines (monitoring, health dashboards) • Over time, help build feature stores or real-time feature services for models or rules

🎯 Requirements

• 3+ years building data pipelines (batch, stream) in production • Strong in Python, SQL, and data infrastructure (e.g. Kafka, Airflow, Flink, Spark) • Experience with data integrity, schema evolution, partitioning, compaction, etc. • Deep understanding of performance, latency, indexing • Comfortable designing for failure, retries, backfills, idempotency • You treat data as first-class infrastructure • Experience in fraud, security, abuse domains • Familiarity with real-time feature serving or feature store systems • Exposure to internal tooling APIs or data mesh architectures

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities