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Remote Data Analytics Engineer

at NeueHealth

Posted 10 hours ago | 3 applied

Description:

  • 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.