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University of South Florida

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Applications Developer III (Finance)



The Sr. Data Engineer will interact with a diverse staff of scientists, statisticians, engineers, and administrators in the development of datasets, reports, and systems supporting research efforts at the HII. As a part of the Data Engineering team, the Sr. Data Engineers efforts will span the data lifecycle with an emphasis on ETL, reporting, cleaning, and sharing of data. The Sr. Data Engineer will utilize their expertise to manage data from a variety of sources including relational and unstructured/NoSQL databases and satisfy stakeholders from statisticians and scientists to clinical operations staff, sponsors, and regulatory agenciesMinimum Qualifications: Bachelor's degree in an information technology, quantitative, scientific, or related field with six years of experience in related positions or master's degree in an information technology, quantitative, scientific, or related field with four years of experience in related positions. SAS expertise which includes reporting, graphics, macros, and data step programming.

Additional Minimum Qualifications: Candidates should have attention to detail, strong interpersonal communication skills, excellent analytical and critical thinking skills, excellent written and verbal communication skills, flexibility and creativity in delivering on stated objectives, ability to adapt and adjust to changing priorities.

FLSB1310 Equivalency:
4 years of directly relevant experience may be substituted for bachelor's degree.
6 years of directly relevant experience may be substituted for master's degree.

This position may be subject to a Level 1 or Level 2 criminal background check.

Applicants for USF employment are entitled to request reasonable accommodation(s) in the application process. A request is to be made at least five (5) working days prior to the time the accommodation(s) is needed. Contact the USF ADA Lead ( hr-ADA-Request@usf.edu ) to coordinate your accommodation request.The University of South Florida is a high-impact global research university dedicated to student success. Over the past 10 years, no other public university in the country has risen faster in U.S. News and World Report's national university rankings than USF. Serving more than 50,000 students on campuses in Tampa, St. Petersburg and Sarasota-Manatee, USF is designated as a Preeminent State Research University by the Florida Board of Governors, placing it in the most elite category among the state's 12 public universities. USF is a member of the American Athletic Conference.
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Working at USF
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With more than 16,000 employees at USF, the University of South Florida is one of the largest employers in the Tampa Bay region. At USF you will find opportunities to excel in a rich academic environment that fosters the development and advancement of our employees. We believe in creating a talented, engaged and driven workforce through on-going development and career opportunities. We also offer a first class benefit package that includes medical, dental and life insurance plans, retirement plan options, tuition program and generous leave programs and more.
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To learn more about working at USF please visit: Work Here. Learn Here. Grow Here .Develop analysis programs and reports to monitor data accrual and quality. Develop and implement complex data manipulations for checking data completeness and accuracy.

Develop programs to extract subsets and summaries from a variety of sources, including large and complex databases (structured and unstructured; Big Data). Develop complex systems for ensuring data integrity, in-house data monitoring and study status reports, and clinical trial database systems. Develop and maintain domain knowledge of complex and expansive enterprise applications. Develop and maintain requisite expertise for ongoing and future institutional data management demands.

Interact directly with faculty and operations staff to learn study objectives and develop project requirements. Interface effectively with laboratories, analytical partners, regulatory agencies, etc. in Interact directly with faculty and operations staff to learn study objectives and develop project requirements. Interface effectively with laboratories, analytical partners, regulatory agencies, etc. in execution of projects. Contribute to the documentation, interpretation, and preparation of data for analysis. Assist in new data acquisition and exploration. Assist in the development and implementation of analysis software pipelines for conducting genomics, transcriptomics, microbiomics, metabolomics, proteomics, etc.

Efficiently coordinate activities with other team members. Take initiative to provide expertise and assistance when needed.execution of projects. Contribute to the documentation, interpretation, and preparation of data for analysis. Assist in new data acquisition and exploration. Assist in the development and implementation of analysis software pipelines for conducting genomics, transcriptomics, microbiomics, metabolomics, proteomics, etc.

Efficiently coordinate activities with other team members. Take initiative to provide expertise and assistance when needed.

Comply with and provide input in the creation of standard operating procedures. Proactively inform management of the status of deliverables, timelines, accomplishments, and issues experienced and remediated on projects. Ensure analysis data and programming code integrity and reliability. Apply best practices to the design, development, implementation, and maintenance of programs. Adhere to policies and procedures related to data governance and promote adherence throughout the Data Engineering team and institute at large.

Participate in the strategic planning of future technology needs to accommodate the lifetime span of grants. Act as a mentor and promote the dissemination of knowledge throughout the Data Engineering team.

Participates in the strategic planning of future technology needs to accommodate the lifetime span of the grants. Communicate with outside organizations (vendors, retailers and user groups) in evaluation and execution of projects. Apply

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