Data Engineer - Onboarding
Core
Own the end-to-end data and machine learning foundation for real-time compliance decisions, including fraud detection, KYC onboarding, and AML operations.
Role type
Senior IC Data/ML Engineer
Builds
Production data pipelines, feature platforms, and ML models for financial crime prevention
Domain
Financial services, fraud detection, AML, KYC
Deliverable
production ML models
Required skills
Python, SQL, distributed streaming processing (Spark, Beam, Flink), cloud data stack (GCP/AWS), ML engineering (feature stores, training pipelines), entity resolution, data security
Preferred skills
Experience with fraud consortiums, graph data processing, automated retraining systems
Technologies
Pub/Sub, Apache Beam, Flink, Airflow, Spark, BigQuery, Vertex AI, Kubeflow, XGBoost, LightGBM, CatBoost, scikit-learn, Docker, Kubernetes, Terraform
Responsibilities
Design and maintain streaming and batch pipelines for data ingestion; build and evolve the feature platform with streaming and batch consistency; productionize fraud and identity ML models; engineer KYC, AML, and identity risk signals; integrate and harden third-party data sources; manage warehouse and modeling layer; design entity resolution and graph data; implement data safety and security controls; set technical direction and mentor the team
Seniority
Senior, hands-on IC
