Data Engineer (remote US)

Overview HarperCollins is seeking a Data Engineer to join our Data Management & Engineering team. The successful candidate will be responsible for developing, maintaining, and supporting enterprise data integration processes and pipelines across both on-premises SQL Server and Microsoft Azure environments. This role will support the ongoing modernization of legacy data processing solutions into cloud-based architecture, leveraging Microsoft Fabric, Azure Data Lake, and enterprise Data Products. The ideal candidate will have strong SQL and data engineering skills, hands-on experience with Azure technologies, and the ability to translate business requirements into reliable, scalable, and well-documented technical solutions. The position requires close collaboration with Data Governance, business stakeholders, application teams, and other engineering resources to ensure data is processed accurately, efficiently, and consistently across enterprise platforms. Responsibilities Data Engineering & Cloud Development Design, develop, and maintain data pipelines using Microsoft Fabric, Azure Data Factory, and related Azure technologies. Develop Python, PySpark, and SQL notebooks for data ingestion, transformation, and processing across Bronze, Silver, and Gold layers. Integrate data from multiple sources, including files, databases, APIs, and enterprise applications. Implement data transformations, enrichment, aggregations, and business rules based on approved specifications. Op