Job Requirements This USA new hire is for a Data Engineer to support the Claims AI 10.0 Scaling Opportunities (Hemsley AI 10.0 initiative scaling to E&I UNET USP and DisputesJob DescriptionWe are seeking a highly skilled Data Engineer to support the design development and scaling of data pipelines and data foundations for AI-driven claims solutions This role will focus on building robust scalable and efficient data processing capabilities that enable AI/ML automation reporting and analytics across multiple Lines of Business. The candidate will work closely with engineering, AI/ML data science and business teams to ensure reliable data ingestion, transformation, quality and delivery in support of Claims AI 10.0 initiativesKey ResponsibilitiesDesign, build, and maintain scalable data pipelines for Claims AI 10.0 initiatives across PCRB, E&I UNET, USP, and DisputesDevelop and optimize batch and real-time data processing workflows to support AI/ML, reporting, and automation use casesBuild and maintain data ingestion, transformation, enrichment, and integration pipelines across multiple source systemsEnsure high data quality, consistency lineage and availability across engineering and AI workflowsCollaborate with AI/ML and data science teams to prepare and deliver data for model training inference, feature engineering, and analyticsSupport large-scale data processing, pipeline automation, and performance optimizationStrengthen data observability, monitoring reconciliation and failure handling across pipelinesEnsure security compliance and governance standards are embedded in data engineering practicesContribute to the continuous improvement of data platform reliability efficiency and reusabilityRequired SkillsStrong experience in Data Engineering and large-scale data processingHands-on proficiency in Python and SQLExperience building and optimizing ETL/ELT pipelinesExperience with distributed data processing frameworks such as PySpark or SparkStrong understanding of data modeling, transformation, and pipeline designExperience supporting AI/ML analytics or automation data workflows is preferredKnowledge of data quality, lineage, monitoring, and pipeline reliability practicesAbility to work effectively across multiple Lines of BusinessStrong analytical problem-solving and communication skillsAdditional DetailsAI Persona AI Enabler Data EngineerSite [Minnetonka- USA]Work Experience 5-7Years
