Brown University Health is looking to develop, maintain, and optimize data pipelines and architectures to support its healthcare system's data initiatives, ensuring data systems are scalable, secure, and optimized for performance.
Requirements
- Basic knowledge of data structures, ETL processes, and common transformation methods.
- Experience with architecting scalable data systems and working with large, complex datasets.
- Strong analytical and critical thinking skills.
- Experience with cloud platforms, data engineering best practices, and modern data tools.
- Knowledge of data management standards for the healthcare industry.
- Ability to work with large, complex datasets.
- Skills in data documentation, data validation techniques, scalable data systems.
Responsibilities
- Assists in building and maintaining data processing systems.
- Works with senior engineers to ensure data pipelines are efficient, scalable, and secure.
- Supports efforts to reduce data duplication and inefficiencies across vendor-supplied and internal data warehouses and lakes.
- Conducts basic analysis of data sources to understand their potential value.
- Helps profile and organize existing data sources, under the guidance of senior engineers.
- Produces well-documented data infrastructure that can be maintained for long-term use.
- Supports the development of automated data validation processes, including basic data mapping and validation rules.
Other
- Bachelor’s Degree in STEM-related field or equivalent education/experience.
- Effective written and verbal communication skills.
- Ability to work independently within broad scope of department policies and practices.
- Must be able to establish a secure workspace environment to protect the confidentiality of sensitive information.
- Must be able to travel to sites in Rhode Island and Southeastern Massachusetts, as needed.
