Job Information
UNIVERSITY OF TEXAS AT AUSTIN Data Engineer, Paydarfar Lab in Austin, Texas
Development and DesignDevelop and implement a robust, secure, HIPAA-compliant, cloud-based data warehouse infrastructure capable of ingesting data streams from various sources, including wearable sensor data, hospital monitoring systems, electronic medical record (EMR) systems, and cognitive and behavioral assessments.Develop extract, transform, and load (ETL) procedures to capture time-synchronized streams from different sources, including wearable devices and hospital EMR systems.Design and automate ETL solutions for data cleansing, preparation, data validation, and related processesConstruct warehouse infrastructure to allow for automated feature extraction and population-based analysis retrospectively.Adaptation and MaintenanceAdapt ETL procedures to evolving data models and business needs.Adapt ETL procedures in response to data quality assurance findings.Communication and CollaborationPartner with key stakeholders, including clinicians, cognitive and behavioral therapists, physiologists, data modelers, and other teammatesProvide documentation for institutional knowledge retentionDevelop and maintain timelines in coordination with PIs and Core leadsCollaborate with PIs and project investigators to prepare methodological notes, reports, presentations, and other dissemination activities related to the project activities.Assist in training project staff and research assistants who may be helping with data collection.Help to facilitate project collaborations and teamwork.Other related duties as assigned.