Healthcare Data Engineer

Insight Global; United States; Remote; USD 130,000 - 170,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

Data engineering

HEDIS domain knowledge

Quality reporting

Stakeholder management

Communication

Time-zone coordination

Education

Bachelor's degree

Tools

AWS cloud

ETL tooling

Cloud data platforms

Job description

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Healthcare Informatics, or related field; equivalent experience considered.
• 5+ years of Data Engineering experience with a focus on healthcare data environments.
• Hands‑on experience supporting HEDIS, quality measures, risk adjustment, healthcare reporting, audits, or submission processes.
• Strong experience building and maintaining data pipelines, ETL processes, and large‑scale healthcare data integrations.
• Experience working with healthcare datasets including claims, member, provider, clinical, or quality reporting data.
• Experience automating data processing, validation, certification, and audit workflows.
• Strong SQL development experience and proficiency with modern cloud data platforms and pipeline technologies.
• Experience collaborating with offshore engineering teams and coordinating work across multiple time zones.
• Excellent communication and stakeholder management skills.

Ability to work remotely with strong overlap during Eastern Time business hours.

Nice to Have Skills & Experience

• Experience supporting CMS, NCQA, Medicare Advantage, Medicaid, or healthcare quality initiatives.
• Experience with AWS cloud technologies and modern data architecture patterns.
• Exposure to healthcare submission platforms and regulatory reporting processes.
• Previous experience supporting US and India‑based engineering teams.
• Experience leading technical design discussions and mentoring junior engineers.

Job Description

A rapidly growing healthcare technology organization is seeking a Senior Healthcare Data Engineer to support critical quality reporting, audit, and submission initiatives. This individual will serve as a key member of the Data Engineering organization and play an important role in building, optimizing, and automating healthcare data pipelines that support quality measure development and reporting efforts.

The ideal candidate will combine strong technical engineering capabilities with deep healthcare domain expertise, particularly around HEDIS, quality measures, audits, and healthcare data processing. This position will partner closely with both US‑based and offshore engineering teams while helping drive automation and operational efficiency across core healthcare data platforms.

Key Responsibilities

• 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.