
Accelerate Healthcare Insights with Data Engineering Expertise
5 days ago
We're seeking a Healthcare Data Engineer to join our dynamic team. As a key member, you'll play a vital role in supporting AI/ML initiatives through advanced data preparation and management.
This is an exciting opportunity to clean, rationalize, normalize, and integrate large healthcare datasets (claims, member, provider, clinical data) to ensure readiness for AI-driven analytics and automation.
You will collaborate with data scientists, engineers, and AI teams to deliver high-quality, compliant data pipelines for predictive analytics, risk stratification, fraud detection, and other use cases.
Responsibilities:- Data Cleaning: Identify and resolve errors, inconsistencies, duplicates, and missing values.
- Data Rationalization and Normalization: Align with healthcare data standards and structures (ICD-10, CPT, SNOMED).
- Data Aggregation and Consolidation: Combine datasets from multiple systems (EHRs, claims, third-party vendors).
- Automation and Scripting: Implement efficient data handling.
- Documentation: Maintain thorough documentation of data processes, transformations, and metadata.
Requirements:
- Strong experience in healthcare data engineering.
- Proficiency in data cleaning, normalization, aggregation, and feature extraction.
- Knowledge of healthcare standards and coding systems.
- Proficiency with SQL, Python, and automation frameworks.
Benefits:
- Collaborative and innovative work environment.
- Opportunities for professional growth and development.
- Comprehensive benefits package.
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