Senior Data Engineer - (Fintech Data)
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
Scalable batch pipelines, data quality frameworks, observability tooling, and point-in-time-correct datasets for fraud models.
Domain
Fintech / Fraud Prevention / Data Infrastructure
Deliverable
production ML models
Required skills
Python, Apache Flink, Airflow, dbt, BigQuery, AWS/GCP, data quality framework design, observability, batch processing, event time handling, state management, checkpointing, late-arriving data handling, feature preparation, model training workflows, backtesting, inference workflows, data lineage, alerting, reconciliation, business-logic accuracy.
Preferred skills
None stated.
Technologies
Python, Apache Flink, Airflow, dbt, BigQuery, GCP, AWS
Responsibilities
Build accurate, point-in-time-correct datasets for model training and backtesting; Design and build scalable batch pipelines complementing existing streaming platforms; Develop robust controls for data completeness, freshness, anomaly detection, and business-logic accuracy; Build observability capabilities to surface pipeline failures and data drift; Partner with Data Scientists and Fraud Ops to translate use cases into scalable data products.
Seniority
Senior, hands-on IC
