Evaluates business requirements, creates advanced data ingestion processes and modeling, and provides extensive support for databases and relevant services. Designs new data architectures. Ensures data quality and delivery. Trains and assists lower-level data engineers; often serves as team lead. Supports data analysts and scientists with expert-level research and consulting.
Who We Are
Panthers Data and Analytics represents the University of Pittsburgh Athletics Department as a part of the University’s Pitt IT Analytics team. Our mission is to “Improve decision-making by managing data from source to strategy.” We help the Athletics Department improve across four domain areas: administration, revenue generation, sports science, and sports analytics.
Who we are looking for
The Data Engineer, Athletics will be the primary individual contributor to data engineering efforts within Panthers Data and Analytics. You bring expertise, energy, and enthusiasm to help our program in the critical work of data infrastructure management, data pipeline development, data modeling, and more using an AWS-centered cloud environment.
Essential Functions
* Develop data pipelines: Design, build, and maintain robust and efficient data pipelines and APIs that collect, process, and integrate data from various sources.
* Curate data for data science and analytics: Curate, organize, and optimize data in data warehouses and lakes to ensure it is accurate, accessible, and ready for various data science and analytics use cases.
* Enhance and expand the data platform: Implement scalable solutions that improve and extend the utility of our data infrastructure and platform(s).
* Facilitate AI/ML operations: Partner with Data Scientists to operationalize machine learning and artificial intelligence models.
* Document engineering work: Document and share details on engineering standards, practices, and workflows.
* Special projects and other duties as assigned.
Requirements
* Bachelor's Degree
* Minimum 5 years of experience
* Combination of education and relevant experience will be considered in lieu of education and/or experience requirement.
Work Schedule
M-F bus hrs EST. On occasion, some evening and weekend work may be necessary depending on business load, project timeline requirements, urgent support, special events or scheduled downtime changes. May be responsible for manning an escalation/on-call phone number.
Work Arrangement
Remote: Teams working from different locations (off-campus).
The University of Pittsburgh is an Equal Opportunity Employer.
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