To support enterprise reporting and analytics, the full-time Healthcare Analytics Engineer II will design and maintain scalable data models, build robust ETL/ELT pipelines, and collaborate with business stakeholders to translate requirements into analytical solutions in a remote work environment. Key responsibilities Design, develop, and maintain scalable data models for reporting and analytics Build and optimize ETL/ELT pipelines using modern data transformation frameworks Lead efforts to improve data quality through validation, testing, and monitoring Required qualifications 4-7 years of experience in developing analytics solutions and data transformation pipelines Advanced proficiency in SQL and strong proficiency in Python or similar programming languages Experience designing and maintaining dimensional data models in healthcare contexts Familiarity with modern ETL/ELT methodologies and production data pipelines Bachelor's degree in Mathematics, Computer Science, Statistics, Engineering, Information Systems, or a related field