Similar Jobs
See allSummary:
- Responsible for building, optimizing, and maintaining data pipelines that support clinical, operational, and analytical reporting across the healthcare ecosystem.
- Work closely both independently and with senior engineers to support the organization's data analytics and business intelligence needs.
Essential Duties & Responsibilities:
- Assist in building and maintaining ETL/ELT pipelines for healthcare datasets including claims, eligibility, provider, risk adjustment, HEDIS, EHR, and clinical data.
- Support the development of data models and transformations aligned with healthcare standards (e.g., HL7, FHIR, X12) and contribute to data quality checks, validation rules, and documentation.
- Collaborate with analysts and business users to understand data requirements, translate them into technical tasks, and participate in issue resolution related to pipeline failures or data quality errors.
Qualifications:
- Minimum of 2 years of experience in data engineering, ETL development, or data integration, with healthcare experience preferred.
- Strong SQL skills and intermediate experience with Azure Data Factory, Databricks, PySpark, or comparable ETL tools.
- Familiarity with healthcare data types, interoperability formats (HL7, X12, FHIR), and data warehousing concepts, plus basic Python or Scala programming skills.
Curana Health
Curana Health is a national leader in value-based care, providing senior living communities and skilled nursing facilities with solutions like on-site primary care, Accountable Care Organizations, and Medicare Advantage Special Needs Plans. Founded in 2021, the company has grown to serve 200,000+ seniors across 1,500+ communities in 32 states, with a team of over 1,000 clinicians and professionals ranked #147 on the Inc. 5000 list.