Data Engineer I

Salary: $36.00 / Hourly

The selected candidate must have current work authorization in the United States. This position is not eligible for Visa Sponsorship.

Organization Summary:

Located in the vibrant and diverse Tampa Bay region of Florida’s gulf coast, the University of South Florida (USF) is a Preeminent State Research University with campuses in Tampa, St. Petersburg and Sarasota-Manatee. Rated as one of the top places to live in the U.S., Tampa Bay offers a high quality of life, year-round sunshine, and easy access to top-rated entertainment. USF is one of the nation’s largest public universities, serving more than 50,000 students with an annual budget of $1.8 billon. Over the past five years, USF has been the fastest-rising university in the nation, public or private, on the U.S. News and World Report's list of best universities, which it ranks as the 44th best public university in America. USF is proud to be an innovating partner within the Tampa Bay region, listed by Forbes as the top emerging tech city in the country.

USF Information Technology (USF IT) provides technology services and support for the University of South Florida. The IT team, led by the Vice President and CIO, provides the following services: Administrative Services, Client Support, Communication Services, Teaching and Learning, Analytics and Reporting, Mobile and Web Services, Consulting Services, Cybersecurity Service and Research Technologies. For more information, please visit: USF Information Technology

Position Summary:

The Data Engineer I plays an important role in operationalizing priority data and analytics initiatives by building and supporting data pipelines to provide curated data for key data and analytics features within products. 

This position collaborates and communicates effectively within the team, and may with our clients.

This position applies and contributes to data integrity, standards, and best practices, as well as identifies opportunities for increased efficiency and automation at the product feature level.

This position leverages theoretical knowledge of appropriate data and metadata management services such as Azure Synapse, Azure Purview, and PowerBI.

Additional Information For Application:

The selected candidate must have current work authorization in the United States. This position is not eligible for Visa Sponsorship.

Job Duties:

40% Build Data Pipelines:  Build data flows that integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions. Build data pipelines and storage/structures based on analysis of data requirements, including data modeling and cleansing. Use and gain knowledge and experience in data processing languages, such as SQL, Python, or Scala, and tool/services, such as Synapse, SQL pools, data lakes, analytical data warehouses, as well as parallel processing and data architecture patterns.

10% Automate Data Processes:  Automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. Use DevOps for CI/CD.

20% Collaborate on Data Solutions: Create and maintain documentation of analytics solutions for internal and client use. Provide data reporting as needed. Operationalize approved data flows developed by others, including outside of IT.

10% Ensure Data Compliance and Governance:  Apply pre-approved appropriate Security and access controls. Apply process and technical standards and best practices.

20% Data Infrastructure and Operations: Monitor and optimize data storage and data processing. Monitor and support daily operational analytics processes. Support data catalog and metadata content (e.g. Purview).

Minimum Qualifications:

Bachelor's degree in Computer Science, MIS or other field involving software and analytical training,  or a Bachelor's degree with no specific required field and one year of relevant work experience,  OR a combination of 4 years of relevant work experience and validated training. Preparation for a relevant IT certification, validated through certification requirements and documentation of completion, is considered to be related training.

Additional Information For Application:

The selected candidate must have current work authorization in the United States. This position is not eligible for Visa Sponsorship.

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