HEDIS & Quality Data Engineer | SQL, Python & FHIR

EXL; Hartford (CT); Hybrid; USD 90,000 - 130,000; Full time

Job summary

EXL is seeking a Healthcare Data Engineer/Data Analyst to support HEDIS, quality measures, and data transformation initiatives. You will develop SQL and Python solutions, perform data validation, and help modernize healthcare reporting in a hybrid Hartford, CT environment.

The role requires 3+ years in healthcare data roles, strong SQL, and experience with cloud platforms like GCP/BigQuery. Collaboration across teams is essential.

Qualifications

• 3+ years of Healthcare Data Engineering, Analytics, Quality Measurement, or Healthcare Reporting.
• Strong SQL development and data analysis skills.
• Experience with cloud platforms such as GCP/BigQuery.
• Understanding of healthcare data including claims, membership, provider, and clinical data.
• Experience with data validation, reconciliation, testing, and troubleshooting.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Support HEDIS, Supplemental CQL, and quality measure analysis activities.
• Analyze measure outputs and supporting evidence.
• Develop SQL and Python solutions to automate data processing, validation, and reporting activities.
• Support FHIR mapping and healthcare data transformation initiatives.
• Document findings, issues, data flows, and business requirements.
• Support modernization efforts related to quality measurement and healthcare reporting.

Skills

SQL development

Data analysis

Python

Healthcare data understanding

Communication skills

Analytical thinking

Tools

GCP

BigQuery

Job description

EXL is seeking a Healthcare Data Engineer/Data Analyst to support HEDIS, quality measures, and data transformation initiatives. You will develop SQL and Python solutions, perform data validation, and help modernize healthcare reporting in a hybrid Hartford, CT environment.

The role requires 3+ years in healthcare data roles, strong SQL, and experience with cloud platforms like GCP/BigQuery. Collaboration across teams is essential.