Software Development Engineer II- Trust Intelligence Platform
Core
Build and scale high-throughput data pipelines and feature stores to ensure data integrity for risk decisioning and machine learning engines.
Role type
Senior IC data engineering specialist (risk/fraud)
Builds
Real-time and batch risk signal pipelines, feature stores, and data quality automation for fraud detection
Domain
FinTech / Fraud & Risk / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, Java, Scala, or Go; Spark, Kafka, Airflow, Snowflake; AWS (Kinesis, S3, EMR, Redshift, DynamoDB); SQL; data warehousing principles; project ownership
Preferred skills
Machine learning for feature outlier and drift detection; FinTech, Fraud, or Risk domain experience
Technologies
Kafka, UEL, Spark, Snowflake, Kafka, Airflow, AWS Kinesis, S3, EMR, Redshift, DynamoDB
Responsibilities
Build feature anomaly and drift detection capabilities; Design and implement robust data pipelines for real-time and batch risk signals; Develop scalable data models for real-time decisioning and analytics; Partner with Data Scientists to build and optimize feature stores; Contribute to technical strategy for the risk data stack including database selection and cost optimization
Seniority
Mid-level IC (3+ years experience)
