Research Data Engineer - Remote Data Pipelines Lead

The Chronicle Of Higher Education, Inc.; Madison (WI); On-site; USD 62,000 - 82,000; Full time

Job summary

The Center for Health Disparities Research at the University of Wisconsin–Madison School of Medicine and Public Health is seeking a Research Data Engineer to contribute to large-scale data management and reproducible pipelines, working with CHDR scientists and data analysts on a 24-site consortium and Azure-based data environments.

Responsibilities include building, testing, and maintaining data architectures, integrating multiple data sources, and producing datasets for publications and

Qualifications

• Intermediate or advanced experience using R or Python to perform data processing/ETL tasks.
• Comfortable working in a command line environment.
• Demonstrated experience with large scale relational database management systems.
• Demonstrated experience in a research setting.

Responsibilities

• Develops, constructs, tests, and maintains architectures for large-scale data management and analysis
• Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale
• Organizes both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically
• Selects appropriate technologies and optimizes pipelines for performance
• Prepares data sets for current and future analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources and may use technologies that support data at scale

Skills

R

Python

SQL

Command line

Data analysis

Education

Bachelor's Degree Preferred

Tools

Docker

Azure

Git

Job description

The Center for Health Disparities Research at the University of Wisconsin–Madison School of Medicine and Public Health is seeking a Research Data Engineer to contribute to large-scale data management and reproducible pipelines, working with CHDR scientists and data analysts on a 24-site consortium and Azure-based data environments.

Responsibilities include building, testing, and maintaining data architectures, integrating multiple data sources, and producing datasets for publications and