Remote Senior Healthcare Data Engineer: Quality Pipelines

Insight Global; États-Unis; À distance; USD 130 000 - 170 000; Plein temps

Résumé du poste

Insight Global is seeking a Senior Healthcare Data Engineer to design, build, and optimize data pipelines for quality reporting and audits in healthcare. The role emphasizes collaboration with both US-based and offshore teams, driving automation, and improving data integrity across large healthcare datasets.

The ideal candidate has extensive SQL experience, cloud data platform expertise, and strong communication with stakeholders across multiple time zones.

Qualifications

• Five or more years of data engineering experience in healthcare environments.
• Hands-on experience supporting HEDIS, quality measures, risk adjustment, healthcare reporting, audits, or submission processes.
• Strong SQL development experience and proficiency with modern cloud data platforms and pipeline technologies.

Responsabilités

• Design, build, and maintain healthcare data pipelines and integrations.
• Support quality measure development, validation, and reporting initiatives.
• Automate audit, submission, and certification processes.
• Collaborate with US and India-based engineering teams.
• Develop scalable solutions that improve quality reporting accuracy and efficiency.
• Support ongoing healthcare data ingestion, transformation, and processing efforts.
• Troubleshoot complex data issues and improve overall platform performance.
• Contribute to technical architecture and process improvement initiatives.

Connaissances

Data engineering

HEDIS domain knowledge

Quality reporting

Stakeholder management

Communication

Time-zone coordination

Formation

Bachelor's degree

Outils

AWS cloud

ETL tooling

Cloud data platforms

Description du poste

Insight Global is seeking a Senior Healthcare Data Engineer to design, build, and optimize data pipelines for quality reporting and audits in healthcare. The role emphasizes collaboration with both US-based and offshore teams, driving automation, and improving data integrity across large healthcare datasets.

The ideal candidate has extensive SQL experience, cloud data platform expertise, and strong communication with stakeholders across multiple time zones.