Data Engineer I, CMT

The Data Engineer I role within the Data Platform and Analytics team is a foundational technical position responsible for building and maintaining modern data infrastructure that powers business intelligence and advanced analytics at scale. This role focuses on engineering real-time data processing systems for AI/ML workloads, delivering data-as-a-product with clear SLAs, and managing AWS-native pipeline architectures. Working at the intersection of data engineering and AI systems, the Data Engineer I creates reliable, scalable infrastructure that enables intelligent data access, automated workflows, and advanced analytics — driving actionable insights for business stakeholders.Key job responsibilitiesModern Data Infrastructure & Real-Time Processing• Engineer modern data infrastructure supporting real-time data processing for AI/ML inference and training workloads• Build semantic layers enabling intelligent query routing and context-aware data access• Develop infrastructure for AI-powered automated workflows and orchestration• Implement AI-driven data quality, entity resolution, and metadata management solutionsData-as-a-Product Delivery• Own end-to-end accountability for data products from ingestion to consumption• Deliver data products with clear SLAs, quality metrics, and customer satisfaction measures• Build self-service platforms with embedded governance, lineage, and discovery capabilities• Establish data contracts and APIs for reliable, versioned data consumptionAWS Infrastructure & Pipeline Engineering• Manage AWS resources including EC2, Lambda, S3, Redshift, and EMR• Build high-quality data pipelines supporting analysts, data scientists, and downstream consumers• Implement CDC and event-driven architectures for real-time data availability• Deploy infrastructure-as-code using CDK