DQLabs, Data Quality Engineer(insurance domain)

Centraprise; North Carolina; On-site; USD 110,000 - 140,000; Full time

Job summary

Centraprise is seeking a Data Quality Engineer (DQLabs) to design, implement, and operate enterprise Data Quality capabilities within an insurance data context. The role partners with data stewards, architects, and engineering teams to drive profiling, rule configuration, observability, and governance across multiple data domains.

The ideal candidate will own data quality SLAs, remediation workflows, and executive reporting, leveraging DQLabs and cloud data platforms to improve trust,

Qualifications

• Experience designing and operationalizing enterprise-wide Data Quality capabilities.
• Strong background in data profiling, DQ rule implementation, and data observability.
• Experience with metadata management, governance, and audit/reporting in insurance data domains.
• Ability to define SLAs, ownership models, and remediation workflows.

Responsibilities

• Design, implement, and operationalize enterprise Data Quality capabilities using DQLabs and cloud data platforms.
• Profile source systems and identify Critical Data Elements (CDEs).
• Define and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness.
• Build DQ dashboards and executive reporting for business and technology stakeholders.
• Collaborate with Data Stewards/Owners, architects, and analysts to improve enterprise data quality.
• Integrate DQ monitoring with governance and metadata management platforms.
• Support audit, regulatory, and reporting requirements.

Skills

Data Quality

DQLabs

Data Governance

Data Observability

Data Profiling

Metadata Management

Data Stewardship

Insurance domain

Stakeholder collaboration

Tools

DQLabs

Job description

Position: DQLabs, Data Quality Engineer(insurance domain)

Location: Rex, NC ONSITE

Must Have Technical/Functional Skills

• Experienced Data Quality Engineer/Lead to design, implement, and operationalize enterprise-wide Data Quality capabilities leveraging DQLabs and modern cloud data platforms. The candidate will drive data profiling, DQ rule implementation, data observability, stewardship workflows, metadata management, and executive reporting to improve trust, compliance, and business decision-making. The role will partner closely with business stakeholders, data stewards, architects, and engineering teams across multiple insurance data domains.
• Implement and administer DQLabs Data Quality platform and related data observability capabilities.
• Profile source systems and identify Critical Data Elements (CDEs).
• Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness.
• Develop metadata-driven Data Quality frameworks and scorecards.
• Build DQ dashboards and executive reporting for business and technology stakeholders.
• Analyze data quality issues and drive remediation with business and application teams.
• Establish Data Quality SLAs, thresholds, ownership, and governance processes.
• Integrate DQ monitoring with Data Governance and Metadata Management platforms.
• Support audit, compliance, regulatory, and reporting requirements.
• Create quality trend reports, root cause analyses, and continuous improvement plans.
• Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality.
• Data Stewardship & Governance Enablement
• Good to have Insurance Brokerage domain experience as needs to collaborate with Business
• Data Stewards and Data Owners to govern data quality processes.
• Define stewardship responsibilities, escalation paths, ownership models, and issue resolution workflows.
• Implement and administer DQLabs Data Quality platform and related data observability capabilities.
• Profile source systems and identify Critical Data Elements (CDEs).
• Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness.
• Develop metadata-driven Data Quality frameworks and scorecards.
• Build DQ dashboards and executive reporting for business and technology stakeholders.
• Analyze data quality issues and drive remediation with business and application teams.
• Establish Data Quality SLAs, thresholds, ownership, and governance processes.
• Integrate DQ monitoring with Data Governance and Metadata Management platforms.
• Support audit, compliance, regulatory, and reporting requirements.
• Create quality trend reports, root cause analyses, and continuous improvement plans.
• Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality.

Data Quality & Governance

• 7+ years of Data Quality, Data Governance, or Data Management experience.
• Strong understanding of CDEs, Business Glossary, Data Lineage, Metadata Management, and Data Stewardship.
• Experience implementing enterprise Data Quality programs.
• Knowledge of Data Quality dimensions and measurement frameworks.
• Hands-on experience in DQLabs Insurance Brokerage experience is nice to have

Data Stewardship & Governance Enablement

• Good to have Insurance Brokerage domain experience as needs to collaborate with Business Data Stewards and Data Owners to govern data quality processes.
• Define stewardship responsibilities, escalation paths, ownership models, and issue resolution workflows.