Data Quality Engineer

Job Summary

Responsible for designing, building, and maintaining automated data quality frameworks, the full-time remote Data Quality Engineer will collaborate with data engineers and business analysts to ensure data accuracy and compliance across the data lifecycle.

Key responsibilities

• Design, develop, and maintain automated data quality checks and validation rules using Python
• Implement data quality frameworks aligned with governance standards and develop metrics to track data integrity
• Investigate and document root causes of data quality issues, collaborating with stakeholders to define quality thresholds and remediation workflows

Required qualifications

• 3-6 years of experience in data quality, data engineering, or analytics engineering
• Hands-on experience with SQL and cloud-based data environments, preferably AWS, Azure, or GCP
• Strong proficiency in Python for data processing and pipeline automation
• Familiarity with data governance principles and frameworks such as DAMA-DMBOK
• Experience in reinsurance, insurance, or financial services preferred