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Problems about data engineering are discussed in the background of information system construction. The connotation of data engineering in information system construction is described, and data actions involved in data engineering are classified into five classes: regulations and policies, planning and design, acquisition and processing, application and maintenance, archiving and monitoring. Actions of every class are illustrated in detail. The lifecycle of information system project and the lifecycle of data are studied as well as the inclusive relationship among those lifecycles. The hierarchical framework of data engineering implement is illustrated. This article provides practical reference for specific data engineering like data quality improvement.