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. Job Details

Seniority level:

Mid‑Senior level Employment type:

Contract Job function:

Information Technology Industries:

Hospitals and Health Care

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