Data Engineer, Paydarfar Lab
1 month ago
Job Summary:
The Paydarfar Lab at The University of Texas at Austin is seeking a highly skilled Data Engineer to join their team. As a Data Engineer, you will be responsible for developing and maintaining a robust, secure, and HIPAA-compliant data warehouse infrastructure to capture, analyze, and visualize disparate data streams related to cognitive disease states.
Responsibilities:
- Develop and implement a cloud-based data warehouse infrastructure to ingest data streams from various sources, including wearable sensor data, hospital monitoring systems, electronic medical record (EMR) systems, and cognitive and behavioral assessments.
- Design and automate extract, transform, and load (ETL) procedures to capture time-synchronized streams from different sources, including wearable devices and hospital EMR systems.
- Construct warehouse infrastructure to allow for automated feature extraction and population-based analysis retrospectively.
- Adapt ETL procedures to evolving data models and business needs.
- Partner with key stakeholders, including clinicians, cognitive and behavioral therapists, physiologists, data modelers, and other teammates to provide documentation for institutional knowledge retention and develop and maintain timelines in coordination with PIs and Core leads.
Requirements:
- BS degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
- Two years of experience designing and implementing data warehouse infrastructure and ETL solutions for complete data models using multiple data sources.
- Two years of experience with Python, SQL, or equivalent programming languages.
- Strong communication and collaboration skills and good documentation habits.
- Demonstrated experience with orchestration and automation of database processes.
- Strong aptitude for troubleshooting and problem solving.
Preferred Qualifications:
- Graduate degree in computer science or related field with five years of professional experience.
- Some experience with life sciences or medical systems.
- Three years of experience working in a cloud-based data warehouse environment.
- Experiment with multiple types of databases.
- Experience with time-series data structures and analytics.
Salary Range:
$80,000+ depending on qualifications
Working Conditions:
May work around standard office conditions
Repetitive use of a keyboard at a workstation
Use of manual dexterity
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