Senior Data Engineer - (Fintech)
Core
Build and enhance data pipelines (batch and streaming) to support real-time fraud prevention, model training, and rule evaluation for millions of customers and merchants.
Role type
Senior IC data engineer (fraud prevention)
Builds
Production data pipelines, data quality frameworks, and observability tooling for fraud signals
Domain
Fintech / Fraud Prevention
Deliverable
production ML models
Required skills
Python, Apache Flink, Airflow, dbt, BigQuery, GCP/AWS, batch pipeline design, stream processing, data quality validation, observability, data lineage
Preferred skills
Feature preparation, model training workflows, anomaly detection, reconciliation, business-logic accuracy
Technologies
Python, Apache Flink, Airflow, dbt, BigQuery, GCP, AWS
Responsibilities
Build accurate point-in-time datasets for model training and backtesting; Design scalable batch pipelines complementing existing streaming platforms; Develop controls for data completeness, freshness, and anomaly detection; Build observability capabilities to surface pipeline failures and data drift; Partner with Data Scientists to translate fraud use cases into scalable data products
Seniority
Senior, hands-on IC
