
Healthcare Data Engineer
2 days ago
Are you ready to make a difference in the healthcare industry with data engineering?
We're seeking a skilled Data Engineer to join our innovative team and contribute to AI/ML initiatives through advanced data preparation and management.
This exciting role involves cleaning, rationalizing, normalizing, and integrating large healthcare datasets (claims, member, provider, clinical data) to ensure readiness for AI-driven analytics and automation.
- Key Responsibilities:
- Perform data cleaning: identify and resolve errors, inconsistencies, duplicates, and missing values.
- Conduct data rationalization and normalization to align with healthcare data standards and structures (ICD-10, CPT, SNOMED).
- Aggregate and consolidate datasets from multiple systems (EHRs, claims, third-party vendors).
- Execute data extraction workflows to generate AI-ready features.
- Collaborate with data scientists and AI/ML teams to align data preparation with project goals.
Required Skills and Qualifications:
- Strong experience in healthcare data engineering (claims, EHR, clinical datasets).
- Proficiency in data cleaning, normalization, aggregation, and feature extraction.
- Knowledge of healthcare standards and coding systems (ICD-10, CPT, SNOMED, HL7, FHIR).
- Proficiency with SQL, Python, and automation frameworks for data workflows.
- Hands-on experience integrating data from multiple healthcare systems and vendors.
Benefits:
- Pursue a career in a dynamic and growing field with opportunities for professional growth and development.
- Join a collaborative team that fosters innovation and excellence in data engineering.
- Work on complex projects that challenge and inspire you.
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