• Design and build robust data pipelines that integrate data from diverse sources to support risk evaluation and business intelligence • Build streaming data pipelines using Kafka and AWS services to enable real-time data processing and decision-making • Create and operate data services that make curated datasets accessible to internal teams and external partners through APIs and scheduled deliveries • Support data science workflows by building infrastructure that enables model training, feature engineering, and production inference • Implement data quality frameworks including validation, monitoring, and alerting to maintain trust in our data assets • Contribute to CI/CD pipelines and infrastructure-as-code practices to ensure reliable, repeatable deployments • Deliver highly reliable services by following engineering best practices and participating in an on-call rotation to support production systems • Contribute to the data warehouse by creating well-modeled datasets in Snowflake that empower analysts and data scientists • Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver solutions that drive value