Locals Only_Onsite_ Data Quality Engineer_ Raleigh NC
Listed on 2026-08-26
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IT/Tech
Data Engineering, Information & Knowledge Management
Locals _ Data Quality Engineer_ Raleigh NC
Job : OOJ - 26765
Posted Date : 08/20/2026
Experience :
-
Job Type :
Contractual
Location : RALEIGH
Overview :
Our client is seeking an experienced professional with the skill set outlined below.
Data Quality Engineer/Lead
Local to Raleigh NC only!
6-12+ months CTH
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.
- 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.
Skills :
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