Risk Data AI/ML Engineer - Remote

Overview

We are seeking a Senior Data Engineer to join our Risk Data Team as a hands-on technical lead supporting Credit, Collections, and Fraud. This role blends deep production data engineering with formal technical and people leadership.

In Short

• Serve as technical lead for the Risk Data Engineering team.
• Own architectural decisions and data modeling strategy across the Risk domain.
• Design and build production-grade Snowflake data models.
• Develop scalable dbt projects, including reusable macros and testing frameworks.
• Manage Apache Airflow DAGs for data pipeline management.
• Implement CI/CD best practices for dbt and data pipelines.
• Participate in hiring, onboarding, and team building.
• Communicate modeling decisions and pipeline health clearly.
• Maintain scalable, secure data systems aligned with enterprise governance standards.
• Drive automation initiatives to reduce manual operational overhead.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• 8+ years of hands-on data engineering experience.
• 2+ years of experience serving as a tech lead.
• Deep expertise in dimensional and relational data modeling.
• Advanced dbt experience and strong Snowflake skills.
• Production-level experience managing Apache Airflow DAGs.
• Advanced SQL skills and strong Python skills.
• Demonstrated ownership of a data quality and monitoring framework.
• Strong communication skills and ability to influence stakeholders.
• Experience working in regulated environments.

Benefits

• Comprehensive and competitive benefits.
• Opportunity to work in a dynamic, evolving financial services environment.
• Investment in personal and professional growth.
• Collaboration with cross-functional teams.
• Flexible work arrangements for remote candidates.