Data Engineer, Claims Data Quality

Job description

A leading healthcare organization is seeking a Data Engineer to develop automated data quality monitoring and validation capabilities for large-scale claims data. The Data Engineer will work alongside data scientists to turn manual validation processes into repeatable checks and establish monitoring that helps technical and analytics users understand the reliability of healthcare data.

The position combines data engineering, healthcare data quality, SQL, cloud data platforms, and validation frameworks. It is well suited for an engineer who can bring structure to an evolving data quality initiative while addressing challenges such as source inconsistencies, identity resolution, terminology standardization, and data completeness.

Responsibilities

• Design and develop data quality monitoring for claims data, including metrics, automated checks, and visualizations.
• Convert manual data validation activities into reliable, recurring automated processes.
• Create claims-specific quality checks covering source-system validity, identifier resolution, terminology standardization, and completeness.
• Extend data quality frameworks such as Great Expectations to accommodate healthcare and claims-specific validation requirements.
• Partner with data scientists to identify recurring data issues and translate them into automated controls and monitoring.
• Develop clear visibility into data health by presenting validation results, trends, and failures in an actionable format.
• Define and document validation rules, thresholds, and remediation guidance.
• Design quality processes that can expand as additional claims datasets are introduced.
• Collaborate across clinical and claims data initiatives to establish reusable validation patterns and minimize duplicated tooling.
• Support data consumers by clearly communicating data quality findings and potential remediation needs.

Required experience and skills

• Experience developing or maintaining data pipelines and data quality frameworks within cloud data warehouse environments.
• Strong SQL skills.
• Experience working with large-scale healthcare claims or clinical data.
• Experience with BigQuery and Google Cloud Platform (GCP) is preferred.
• Experience with data validation frameworks such as Great Expectations, or the ability to learn comparable tooling.
• Familiarity with the OMOP Common Data Model (CDM) or similar healthcare data models is preferred.
• Understanding of data quality concerns involving completeness, conformance, source-system consistency, terminology standardization, and identifier resolution.
• Ability to define technical processes and validation approaches within an early-stage, evolving initiative.
• Strong communication skills with the ability to translate data quality findings into clear guidance for technical and nontechnical stakeholders.