
Senior Data Quality Engineer
- USA
- $110,000-140,000 per year
- Permanent
- Full-time
- Collaborate with internal stakeholders to define data quality standards, metrics, and business rules aligned with enterprise data governance policies.
- Design, implement, and maintain data quality monitoring processes, including automated validation and exception reporting.
- Conduct in-depth data profiling and root cause analysis to identify anomalies, gaps, and inconsistencies in data from multiple source systems, including EMR and enterprise data warehouse (EDW) and other systems of record.
- Partner with data engineering, data integration, analytics, and business teams to resolve data quality issues and prevent recurrence.
- Lead the development of data quality dashboards and scorecards to track ongoing performance against quality KPIs.
- Document data lineage, definitions, and business rules to ensure shared understanding across teams.
- Provide subject matter expertise on data quality best practices during new system implementations, integrations, and ETL process changes.
- Assist analytics and reporting teams in ensuring all published reports are based on trusted, validated data sources.
- Serve as a liaison between business stakeholders and technical teams to translate business requirements into actionable data quality specifications.
- Conduct periodic data quality audits and report findings to leadership with actionable recommendations.
- Champion a “single source of truth” mindset across the organization to promote consistency and accuracy in all analytics and reporting.