Data Engineer - Onboarding

📋 Description

• Own data ingestion with streaming and batch pipelines
• Build feature platform for real-time and batch use
• Ensure feature correctness with tests and drift monitoring
• Productionize fraud/identity ML models using Vertex AI and Kubeflow
• Engineer KYC/AML and identity risk signals into features
• Integrate 30+ data sources and optimize cost

🎯 Requirements

• 8+ years building production data and ML systems
• Deep Python and strong SQL; fluent in Spark/Beam/Flink
• GCP data stack: BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI
• Feature stores and ML pipelines experience
• High-volume, low-latency serving expertise
• Fraud/risk/payment/identity/KYC domain experience

🎁 Benefits

• Generous cash and equity compensation
• Remote-first culture; work from anywhere
• Flexible PTO and Year-end break
• US & Canada health, dental, vision coverage
• 4% 401k / RRSP matching
• MacBook Pro delivered to your door