Summary
UCI Health is an academic health system and clinical enterprise of the University of California, Irvine. The Data Systems Analyst 4 will implement and maintain infrastructure, tools, and analytical application environments for enterprise data and analytics. The role will support data configuration, movement, transformation, quality, and the migration to Microsoft Fabric for 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
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
- 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
- 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
- Must be able to provide proof of work authorization
- Knowledge of University and medical center organizations, policies, procedures and forms
- 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)
- 2+ years of hands-on experience in pipeline orchestration tools, logging, monitoring & alerting, troubleshooting, and automated testing & deployments (CI/CD), preferably using Microsoft Fabric or Azure services
Qualifications
Must Haves
- 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
- 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
- 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
- Must be able to provide proof of work authorization
Nice to Haves
- Knowledge of University and medical center organizations, policies, procedures and forms
- 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)
- 2+ years of hands-on experience in pipeline orchestration tools, logging, monitoring & alerting, troubleshooting, and automated testing & deployments (CI/CD), preferably using Microsoft Fabric or Azure services
Benefits
- Medical insurance
- Sick and vacation time
- Retirement savings plans
- Access to a number of discounts and perks
- Fully Remote