Remote Cloud Data Engineer - AI for Health Analytics

Optum; Eden Prairie (MN); Remote; USD 92,000 - 164,000; Full time

Benefits offered by this job

Comprehensive benefits

Equity stock purchase

401k contribution

Job summary

Optum is seeking a Senior Data Engineer to support E&I HEDIS retrospective data processing and cloud modernization. You will design, build, and operate scalable cloud-based data pipelines and analytics to enable healthcare quality reporting and regulatory compliance.

This role requires healthcare data expertise and AI-enabled capabilities, with collaboration across stakeholders, auditors, and product teams in a regulated environment. Remote work is nationwide with some in-office requirements.

Qualifications

• 5+ years in health insurance industry supporting HEDIS or healthcare analytics.
• 5+ years with HEDIS concepts and healthcare data domains across multiple lines.
• 3+ years designing cloud-based data pipelines and ETL processes.
• 3+ years Agile/Kanban delivery with CI/CD practices.
• 1+ years implementing AI capabilities in enterprise workflows.

Responsibilities

• Design, develop, test, deploy, and support scalable cloud-based data pipelines.
• Develop and optimize data integration frameworks and SQL-based solutions.
• Implement AI capabilities to automate data workflows and improve quality.
• Translate business requirements into scalable technical solutions.
• Support HEDIS measure processing and regulatory reporting.
• Collaborate with stakeholders, auditors, and product teams to resolve issues.
• Investigate production issues and implement corrective actions.
• Apply CI/CD, automated testing, and code reviews.
• Contribute to cloud migration and modernization of data platforms.
• Ensure data governance, security, and regulatory compliance.

Skills

HEDIS concepts

Healthcare analytics

SQL databases

Cloud data pipelines

Agile/Kanban

AI capabilities

Stakeholder collaboration

Regulatory compliance

Data quality troubleshooting

Technical communication

HEDIS data domains

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Azure cloud

Job description

Optum is seeking a Senior Data Engineer to support E&I HEDIS retrospective data processing and cloud modernization. You will design, build, and operate scalable cloud-based data pipelines and analytics to enable healthcare quality reporting and regulatory compliance.

This role requires healthcare data expertise and AI-enabled capabilities, with collaboration across stakeholders, auditors, and product teams in a regulated environment. Remote work is nationwide with some in-office requirements.