Remote Sr. Data Quality Engineer

Summit Human Capital is seeking a highly skilled Sr. Data Quality Engineer with a strong foundation in data engineering and governance . This individual will play a key role in operationalizing data governance policies and ensuring accuracy, consistency, and compliance across modern cloud-based data systems . The ideal candidate will design and implement automated data validation frameworks , develop dashboards for monitoring data quality , and embed quality controls into AWS pipelines to maintain secure, high-quality data flows across the organization.

Requirements:

• Proven experience in data engineering with a deep emphasis on data quality frameworks and governance.
• Proficiency with AWS services such as Glue, Athena, Lambda, and RDS for automation, processing, and monitoring.
• Strong Python development skills for building validation scripts, workflows, and lifecycle automation.
• Familiarity with data governance frameworks such as DAMA-DMBOK or NIST, and experience translating those into operational policies.
• Ability to design intuitive visualization dashboards for tracking and reporting on data quality metrics.
• Develop and automate data quality rules, anomaly detection, and monitoring dashboards using AWS services.

Responsibilities:

• Build and maintain visualization tools to track data accuracy, completeness, and timeliness across data systems.
• Operationalize data governance policies through tagging, lifecycle management, and retention automation.
• Create and refine workflows for data intake, validation, approval, and archival processes.
• Implement secure access controls such as SSO, Cognito, and RBAC to protect data pipelines and quality systems.
• Integrate data quality checks into AWS-based data and machine learning workflows to ensure trusted, compliant outcomes.