Senior Data Engineer
Core
Build and scale data infrastructure for a Fraud Prevention Center of Excellence, consolidating operational data into governed Snowflake data marts to drive fraud detection efficacy and operational decisions.
Role type
Senior hands-on IC data engineer
Builds
Governed Snowflake data marts, dbt models, and summarized metric tables for fraud operations reporting
Domain
Financial services / Fraud prevention
Required skills
SQL, Python, cloud data warehouse platforms, dbt, Airflow, data modeling, data pipeline development, data governance
Preferred skills
Financial services domain knowledge, fraud operations concepts (tagging, loss attribution, dispute workflows), risk/compliance data environments
Technologies
Snowflake, dbt, Airflow, Tableau
Responsibilities
Design and maintain scalable data pipelines from multiple source systems; Model analytical data for reporting and scorecards; Partner with analysts to translate requirements into reusable data structures; Establish data engineering standards and documentation practices
Seniority
Senior, hands-on IC
