Location: St Augustine,FL, USA
Overview:
Under the supervision of the Enterprise Director Data and Analytics, the Data Engineer-I builds the ETL Processes using SQL and stored procedures. The Engineer is responsible for building data dashboards using Tableau. The role includes building processes for integrations/data extracts from various applications and solutions and Clinical information from Healthfully, SQL Server, Enterprise Data Warehouse). The Data Engineer-I also provides data management design, development and support for both business report writing and automation of the EDW processes using Wherescape and SSRS. Monitor the jobs of the EDW and Wherescape, monitor the jobs for PFM and SSRS reports and Tableau Dashboard refreshes.
Responsibilities:Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Qualifications:Upon hire, employee must reside in the state of Florida. Out of state remote arrangements are unavailable. Relocation assistance is NOT provided for this opportunity. This position requires in-office work in full-time and hybrid accommodations.
Bachelor's Degree in Informatics, Public Health, or Related Field is required.
Skills and Abilities: Demonstrated strong written, organizational and verbal skills required. Ability to manage multiple projects, meet deadlines, and work in a team environment. Accurate and detail-oriented and shows commitment to and performs consistently high quality work. Ability to work harmoniously with diverse groups of individuals required.
Preferences: Experience building data marts and ETL processes that fetch data from diverse data sources and display using Tableau. Experience with SQL Server/BI/EDW and tools like Tableau/Alteryx. ETL experience in an Enterprise Data warehouse environment.
Experience in performing data analysis and creating tables in SQL Server. Build automated ETL processes to load the tables and refresh the dashboards. Build data structures to support the models and automation of the processes.