Senior Healthcare Analytics Engineer at MD Live responsible for designing cloud-native data architectures and implementing healthcare data solutions. Leading engineering efforts to improve data accuracy and business alignment.
Responsibilities
Design and implement robust cloud-native data architectures and models
Implement and maintain logic that transforms raw healthcare data (claims, EHR)
Lead the engineering of high-throughput data exchanges using modern standards and APIs
Work closely with data advisors to test and validate pipelines and enforce rigorous data quality standards
Requirements
Bachelor’s degree in Actuarial Science, Data Science, Computer Science, Engineering, or related field required
Master’s degree preferred
7+ years of experience in data engineering, analytics engineering, or a related field
5+ years of hands-on experience with cloud platforms and modern data stacks
5+ years of functional leadership experience, including mentoring junior engineers and driving technical strategy
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