Note: The job is a remote job and is open to candidates in USA. UCI Health, the clinical enterprise of the University of California, Irvine, is a large academic health system serving millions of people across Southern California. The Data Engineer 4 will implement and maintain infrastructure, tools, and analytical application environments while supporting data configuration, movement, transformation, and quality. The role will also contribute to cloud infrastructure migration and expansion of the data platform for dynamic reporting and advanced analytics.
Responsibilities
- The incumbent will be responsible for implementing and maintaining the infrastructure, tools, and analytical application environments necessary to support the UCI Health enterprise strategic vision. The incumbent will work on a team of data specialists within the Enterprise Data and Analytics Department to ensure the proper configuration, movement, transformation, and quality of data as it flows from multiple source systems towards ultimate analytical consumption. Initial projects will include the implementation of an infrastructure migration to the cloud along with future expansion of the data platform for dynamic reporting and advanced analytics capabilities
Skills
- Strong written and verbal communication skills
- Must possess the skill, knowledge and ability essential to the successful performance of assigned duties
- Must demonstrate customer service skills appropriate to the job
- Knowledge of University and Medical Center organizations, policies, procedures and forms
- Experience maintaining technical documentation and reviewing code within a centralized code repository
- Excellent written and verbal communication skills in English
- Bachelor's degree in Computer Science (or related field) or equivalent work experience
- Ability to maintain a work pace appropriate to the workload
- Ability to establish and maintain effective working relationships across the Health System, School of Medicine, UCI Research Administration and other UC System campuses
- 3+ years with SQL or NoSQL databases and data warehousing technologies
- 3+ years hands-on experience with ETL Tools or Business Intelligence
- 2+ years of hands-on experience creating data pipelines using Python
- 2+ years hands-on experience as a Data Engineer
- Experience working with data governance and a data catalog platform (e.g., Collibra)
- Experience performing unit tests and troubleshooting complex issues/efforts with other team members or cross divisional teams
- Experience creating and optimizing data pipelines capable of ingesting and integrating data from multiple heterogenous sources with advanced analytics capabilities (e.g., NLP, ML)
- Ability to work in agile team structure
- 2+ years of hands-on experience in pipeline orchestration tools, logging, monitoring & alerting, troubleshooting, and automated testing & deployments (CI/CD), preferably using cloud-based technologies (e.g., Azure, Databricks, AWS)
Benefits
- Remote work arrangement
- Medical insurance
- Sick time
- Vacation time
- Retirement savings plans
- Access to discounts and perks
Company Overview