Evergreen Nephrology partners with nephrologists to transform kidney care through a value-based, person-centered, holistic, and comprehensive approach to kidney care. We are committed to improving patient outcomes and improving quality of life by delaying disease progression, shifting care to the home, and accelerating kidney transplants.
Requirements
- Proven experience designing and building data pipelines on Databricks
- Strong expertise in SQL and Python for data transformations, validation, and automation
- Deep understanding of data modeling techniques, best practices, and specifics of healthcare data
- Experience integrating healthcare data sources such as claims, EMR/EHR, and HIE feeds
- FHIR knowledge preferred
- Knowledge of data governance, lineage, security, and HIPAA compliance requirements
- Ability to optimize performance, scalability, and cost efficiency
Responsibilities
- Architect, develop, and maintain Databricks-based data pipelines to integrate healthcare data (claims, clinical, operational)
- Design and implement scalable data models and subject-area data marts
- Implement data quality, lineage, security, and compliance frameworks
- Optimize platform performance, reliability, and cost efficiency
- Mentor and guide data engineers, setting coding standards and best practices
- Collaborate with analytics, product, and business teams to deliver data solutions
Other
- Bachelor's Degree in Computer Science or other quantitative discipline
- 8 years of technology experience
- 5 years of data experience within the healthcare industry
- Experience mentoring engineers and establishing coding and architecture standards
- Able to work effectively in a primarily remote environment
