NeueHealth is a value-driven healthcare company focused on providing high-quality, coordinated care to all health consumers.
The company operates owned clinics and partners with affiliated providers to deliver clinical care and support providers in performance-based arrangements.
The Data Analytics Engineer will develop and maintain core data platforms, transforming normalized data sources into analytics-ready data models.
Responsibilities include designing and implementing ETL processes, building robust data pipelines, creating standardized data models, and establishing data quality checks.
The role requires documentation of data lineage and transformation logic, troubleshooting data quality issues, and fostering a culture of operational excellence.
Preferred locations for candidates are MN, AZ, TX, and FL.
Requirements:
Strong SQL skills are required for complex query design and data validation.
Experience with Python and/or Scala is preferred.
Knowledge of ETL/ELT methodologies and best practices is necessary.
Understanding of data modeling concepts and techniques is required.
Experience with data quality management and testing frameworks is essential.
A Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent practical experience is required.
Excellent analytical and problem-solving capabilities are necessary.
The ability to manage priorities effectively in a dynamic environment is required.
Strong attention to detail and a commitment to data quality are essential.
The candidate must be self-driven with the ability to work independently and as part of a team.
Effective communication skills to collaborate with technical and non-technical stakeholders are required.
Benefits:
The opportunity to drive transformative healthcare outcomes through data platform solutions.
Collaboration with talented teams in a dynamic, startup-oriented environment.
The chance to make data more valuable and accessible across the organization.
Professional growth and development opportunities are provided.