Data Engineer, Trust & Safety
Company:Resend
Location:Americas
Languages:English
Seniority level:Middle, 3+ years
Experience:3+ years
Skills:
PythonSQLApache AirflowETLKafkaData engineeringSpark
Requirements:
3+ years building data pipelines (batch, stream) in production Strong in Python, SQL Strong in data infrastructure (e.g. Kafka, Airflow, Flink, Spark) Experience with data integrity, schema evolution, partitioning, compaction Deep understanding of performance, latency, indexing Comfortable designing for failure, retries, backfills, idempotency Experience in fraud, security, abuse domains Familiarity with real-time feature serving or feature store systems
Responsibilities:
Build and maintain ETL/streaming pipelines Work on aggregation, feature construction, and correctness layers Ensure data quality through alerting and reconciliation Optimize for low-latency queries Partner with software engineers and analytics Instrument logging and observability Build feature stores or real-time feature services
