Senior Risk Data AI/​ML Engineer - Remote

About the Role

We are looking for a Senior Risk Data AI/ML Engineer to join our innovative team at SoFi. This Senior Risk Data AI/ML Engineer remote position offers an exciting opportunity to lead technical projects that shape the future of financial services. You will be at the forefront of transforming personal finance through advanced data engineering and machine learning technologies.

What You'll Do

• Serve as the technical lead for the Risk Data Engineering team, guiding architectural decisions and data modeling strategies.
• Design and build production-grade Snowflake data models that enhance our risk management capabilities.
• Develop scalable dbt projects, including reusable macros and testing frameworks to ensure data integrity.
• Manage Apache Airflow DAGs for efficient data pipeline management and automation.
• Implement CI/CD best practices for dbt and data pipelines to streamline deployment processes.
• Participate in hiring, onboarding, and team building to foster a collaborative work environment.
• Communicate modeling decisions and pipeline health clearly to stakeholders and team members.
• Drive automation initiatives to reduce manual operational overhead and improve efficiency.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 8+ years of hands-on data engineering experience, with a focus on risk data.
• 2+ years of experience serving as a tech lead, demonstrating leadership skills.
• Deep expertise in dimensional and relational data modeling.
• Advanced dbt experience and strong Snowflake skills are essential.
• Production-level experience managing Apache Airflow DAGs.
• Advanced SQL skills and strong Python programming abilities.
• Demonstrated ownership of a data quality and monitoring framework.

Nice to Have

• Experience working in regulated environments, particularly in financial services.
• Familiarity with machine learning frameworks and tools.

What We Offer

• Comprehensive and competitive benefits package.
• Opportunity to work in a dynamic, evolving financial services environment.
• Investment in personal and professional growth through training and development.
• Collaboration with cross-functional teams to drive innovation.
• Flexible work arrangements for remote candidates, promoting work-life balance.