Data Engineer
Core
Own global underwriting tables and build pipelines for AI-agent and human decisioning in credit risk.
Role type
Senior Data Engineer (Underwriting)
Builds
Global UW tables, batch + streaming pipelines for scoring and real-time decisioning
Domain
Financial Services / Credit Risk / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, PySpark, Python, Apache Airflow, AWS Glue, Kafka, Redshift, Terraform, Git, CI/CD, data modeling, schema evolution, data contracts, observability, incident management
Preferred skills
AI/agent patterns, embeddings, vector search
Technologies
SQL, PySpark, Python, Apache Airflow, AWS Glue, Kafka, Redshift, AWS (S3, Lambda, CloudWatch, SNS/SQS, Kinesis), Terraform, Git, CI/CD
Responsibilities
Own global UW tables with SLAs for freshness, completeness, accuracy, and lineage; Design consistent IDs, canonical events, and machine-readable data contracts; Build and run batch and streaming pipelines for underwriting optimization; Instrument quality, observability, and drive incident reviews; Partner with Credit Portfolio, Policy, Modeling, and Finance teams to land features.
Seniority
Senior, hands-on IC