Data Engineer for Fraud Analytics

Job Summary

To support advanced fraud analytics and investigative solutions, the full-time remote Data Engineer for Fraud Analytics will design, build, and maintain scalable data pipelines while collaborating with cross-functional teams to ensure high-quality data integration and analytics.

Key responsibilities

• Design, develop, maintain, and optimize scalable ETL pipelines for advanced analytics and investigative workloads
• Ingest and transform structured and unstructured data from diverse sources, including APIs and databases
• Implement data quality validation and monitoring processes to ensure data reliability throughout the analytics lifecycle

Required qualifications

• Must have experience with Fraud Analysis
• Three or more years of professional experience in data engineering or a related technical field
• Demonstrated experience designing and optimizing scalable ETL pipelines across diverse data sources
• Strong SQL and Python programming skills for data ingestion and transformation
• Experience with cloud-based data platforms such as Databricks Unity Catalog or SQL Server managed instances