Sr. Database Analyst - Data Engineer (Florida Remote)

University of Miami - Miami, FL

Full-time - Mid Level

Miami, FL

Educational Services

About the position

The SCCC Sr. Database Analyst - Data Engineer at the University of Miami is responsible for integrating healthcare data from multiple sources and building and maintaining systems for end-user consumption. This role leads projects, serves as a liaison to various internal units and external vendors, and ensures the efficient implementation and modification of database systems.

Responsibilities

• Leads the design, development, implementation, and support of systems using current industry technologies.
• Ensures proper definition, control, and coordination of data elements and standards.
• Facilitates efficient data relationships, systems integration, and physical structure.
• Participates in the development and implementation of database management policies and standards.
• Designs and operates client-server database performance monitoring software.
• Utilizes hardware, software, and manual procedures to verify the integrity of database systems.
• Develops and carries out project plans, including schedules and budgets.
• Reports variances from project plans and budgets with suggested corrective actions.
• Leads in the creation and maintenance of data dictionaries to improve organizational data integrity.
• Develops and administers policies and controls for data security and integrity.
• Serves as lead technical resource to user community and other divisions in database design, development, and administration.
• Maintains knowledge of current products, database management, and programming techniques.

Requirements

• Bachelor's degree in Computer Science, Information Systems/Technology or relevant field; Master's degree preferred.
• Minimum 5 years of experience in building/maintaining/supporting data systems in healthcare or university academics.
• Effective work experience developing full stack data analytics platforms.
• Experience with data visualization tools such as PowerBI.
• Proficiency in programming languages/tools such as Python, SQL, SSIS, Node.js, Angular 2.0, Docker.
• Technical experience with cloud and hybrid infrastructures, architecture designs, data integrations, and technology management.
• Experience with Windows and Linux server operating systems.
• Knowledge of Azure cloud computing technologies and data platforms.
• Ability to aggregate and write complex, efficient queries against large, disparate data sources.
• Experience developing custom API/Microservices/REST Web Services.
• Experience with XML, JSON, HL7, FHIR.
• Experience in full life cycle of complex software deployment projects using Agile/Scrum and SDLC.
• Understanding of applied statistics skills (distributions, regression, statistical testing).

Benefits

• Competitive salaries
• Comprehensive benefits package including medical and dental
• Tuition remission
• Opportunities for professional development