Research Data Engineer: Pipelines & REDCap

UWMSN University of Wisconsin Madison; United States; Hybrid; USD 61,000 - 75,000; Full time

Job summary

University of Wisconsin is seeking a Data Engineer I to support the MIDUS Biomarker project, handling data from multiple waves with REDCap, SPSS, Python, and related tools. The role includes data cleaning, pipeline development, and collaboration with researchers.

The Data Engineer will organize data flows, ensure quality, and assist in releasing cleaned data while providing technical support to the design team for new data collection waves. A supervisory role over student staff is included.

Qualifications

• Experience with REDCap.
• One or more years’ work experience with research projects.
• Experience with data cleaning and quality assurance.
• Experience with longitudinal databases, especially survey data.
• Excellent verbal and written communication skills.
• Experience with SPSS.

Responsibilities

• Organizes data preparation and analysis steps into reproducible pipelines for automatic processing of similar data sets.
• Prepares data sets for current and future analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources.
• 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.
• Selects appropriate technologies and optimizes pipelines for performance.
• May supervise the day‑to‑day activities of student staff including data entry.

Skills

Excellent communication

Organizational skills

Attention to detail

Education

Bachelor's degree

Graduate work or degree in epidemiology, population health, social sciences, or information science

Tools

REDCap

Python

SQL

SPSS

Job description

University of Wisconsin is seeking a Data Engineer I to support the MIDUS Biomarker project, handling data from multiple waves with REDCap, SPSS, Python, and related tools. The role includes data cleaning, pipeline development, and collaboration with researchers.

The Data Engineer will organize data flows, ensure quality, and assist in releasing cleaned data while providing technical support to the design team for new data collection waves. A supervisory role over student staff is included.