Data Engineer, Paydarfar Lab

$80,000 - $80,000/Yr

The University of Texas System - Austin, TX

Part-time - Entry Level

Austin, TX

Educational Services

About the position

The Data Engineer position at the Paydarfar Lab within the Department of Neurology at the Dell Medical School focuses on developing and maintaining a data platform for analyzing and visualizing data related to cognitive disease states. This role is essential for creating a secure, HIPAA-compliant data warehouse infrastructure that integrates various data streams, including wearable sensor data and electronic medical records. The position is a one-year fixed term appointment, renewable based on funding and performance, with an expected duration until August 26, 2025.

Responsibilities

• Develop and implement a robust, secure, HIPAA-compliant, cloud-based data warehouse infrastructure.
• Develop extract, transform, and load (ETL) procedures to capture time-synchronized streams from different sources.
• Design and automate ETL solutions for data cleansing, preparation, data validation, and related processes.
• Construct warehouse infrastructure for automated feature extraction and population-based analysis.
• Adapt ETL procedures to evolving data models and business needs.
• Partner with key stakeholders, including clinicians and therapists, to ensure effective data management.
• Provide documentation for institutional knowledge retention.
• Develop and maintain timelines in coordination with PIs and Core leads.
• Collaborate with PIs and project investigators for methodological notes and reports.
• Assist in training project staff and research assistants.

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.
• Two years of experience with Python, SQL, or equivalent programming languages.
• Strong communication and collaboration skills.
• Demonstrated experience with orchestration and automation of database processes.
• Strong aptitude for troubleshooting and problem solving.
• Self-motivated and able to organize work independently.

Nice-to-haves

• Graduate degree in computer science or related field with five years of professional experience.
• Experience with life sciences or medical systems.
• Three years of experience working in a cloud-based data warehouse environment.
• Experience with time-series data structures and analytics.
• Cloud platform certification (e.g., AWS).
• Experience with issue tracking systems (e.g., JIRA).

Benefits

• Competitive salary based on qualifications
• Full benefits package
• Support for professional development
• Retirement plan eligibility under Teacher Retirement System of Texas (TRS)