Senior Data Engineer

Job DescriptionAs a Senior Data Engineer, you will be part of a high-performing global team delivering advanced AI and data solutions for Honeywell's industrial customers, with a focus on IoT and real-time data processing. In this role, you will design and implement scalable data architectures and pipelines that enable next-generation AI capabilities, including large-scale machine learning models, intelligent automation, and real-time analytics. You will work closely with cross-functional teams to transform high-volume IoT telemetry into reliable, actionable insights that support Honeywell's connected industrial solutions.You will report directly to our Data Engineering Manager and you'll work out of our Atlanta, GA location on a Hybrid work schedule.ResponsibilitiesKEY RESPONSIBILITIESData Engineering & AI Pipeline Development:Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable data capture and processing for AI/ML workloadsBuild and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flowsDevelop and optimize RAG (Retrieval Augmented Generation) systems, including vector databases, embedding pipelines, and efficient retrieval mechanismsLead the architecture and development of scalable data platforms on Databricks Drive the integration of GenAI capabilities into data workflows and applications Optimize data processing for performance, cost, and reliability at scaleCreate robust data integration solutions that combine industrial IoT data streams with enterprise data sources for AI model training and inferenceDataOps:Implement DataOps practices to ensure continuous integration and delivery of data pipelines powering AI solutionsDesign and maintain automated testing frameworks for data quality, data drift detection, and AI m