DATA QUALITY ENGINEER I/II/III

DATA QUALITY ENGINEER I/II/III Position Number: S-4004 Position Summary: The Data Quality Engineer supports institutional data quality across Central Michigan University by profiling, validating, cleansing, converting, reconciling, and improving data used by enterprise systems, reporting, compliance, decision-making, and ERP migration efforts. The position develops and applies data quality rules, validates source-to-target mappings, documents findings, tracks issues, troubleshoots data problems, and coordinates with functional and technical partners to improve the accuracy, completeness, consistency, reliability, security, and usability of institutional data. The position will support ERP migration, operational data quality, reporting, integration, and ongoing data governance activities across student, finance, human resources, payroll, procurement, research administration, and other administrative data domains. Required Qualifications: Data Quality Engineer I: Foundational knowledge of data analysis, reporting, data quality, or enterprise data concepts. Familiarity with relational databases, SQL, spreadsheets, reporting tools, or data extraction methods. Ability to troubleshoot routine data issues, follow established procedures, and learn institutional systems and data processes. Strong attention to detail, communication, customer service, and collaboration skills. Data Quality Engineer II: All the qualifications of Data Quality Engineer I, plus: Four years of experience, or equivalent combination of education and experience, related to data analysis, data quality, reporting, data migration, data integration, or enterprise systems. Experience supporting data profiling, validation, cleansing, reconciliation, reporting, or data conversion activities. Experience with enterprise data support technologies such as SQL databases, reporting tools, ETL or data integration tools, data warehouses, dashboards, or enterprise application data services. Ability to recommend and implement improvements to data validation, data remediation, documentation, or operational practices. Working knowledge of data quality rules, source-to-target mapping, validation logic, and ongoing data management processes. Experience with data issue analysis, root-cause investigation, troubleshooting, or performance support. Strong analytical, problem-solving, and collaboration skills. Data Quality Engineer III: All the qualifications of Data Quality Engineer II, plus: Six years of experience, or equivalent combination of education and experience, related to data analysis, data quality, reporting, data migration, data integration, or enterprise systems. Experience contributing to data quality planning, validation strategies, remediation approaches, or operational improvement efforts for enterprise data and related systems. Strong working knowledge of relational data structures, SQL, reporting, ETL, integration, or data warehouse technologies used to support enterprise data quality work. Strong working knowledge of relational data structures, SQL, reporting, ETL, integration, or data warehouse technologies that support enterprise data quality work. Experience working with ERP, cloud-hosted, vendor-managed, or hybrid application data environments. Ability to mentor, support, or share knowledge with other staff. Experience supporting integrations or data exchange activities across multiple systems. Ability to contribute to the design, improvement, or long-term support of enterprise data quality solutions. Excellent communication, collaboration, and problem-solving skills. Senior Data Quality Engineer: All the qualifications of Data Quality Engineer III, plus: Eight years of experience, or an equivalent combination of education and experience, related to data analysis, data quality, rep