Data Engineer

Job Summary:
The MIDUS study (Midlife in the United States) is a multi-disciplinary longitudinal study of aging conducted by the University of Wisconsin Institute on Aging. The Data Management Specialist will assist MIDUS Biomarker project staff in managing electronic data and other materials collected in the current wave of longitudinal data collection as well as extant Biomarker and other data obtained during 3 prior waves of MIDUS using tools including SPSS, Python, and REDCap. Biomarker project data is collected by project staff during clinical visits at two study locations in a variety of digital and analog formats. The Data Engineer II receives, organizes, and quality controls this data as it is delivered by project staff and participates in cleaning it for release once a wave of data collection has concluded. This position also provides technical support to the design team as new waves of data collection are designed and implemented.
Responsibilities: Data Engineer I (RE064)
Data Engineer II (RE065) Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion
Education:
Required
Bachelor's Degree

Graduate work or degree in epidemiology, population health, social sciences, or information science preferred.
Qualifications:
Preferred experience would involve either two years of related research experience in epidemiology, population health, or social science, OR equivalent training or experience in data engineering or data curation. Experience with SPSS, Python, and REDCap is strongly preferred. Familiarity with SQL is helpful but not required.
Work Type:
Full or Part Time: 75% - 100%

This position requires most work to be performed in-person, onsite, at a designated campus work
location. After a trial period, with supervisor approval, an arrangement of up to two days per week of remote work may be considered.
Appointment Type, Duration:
Ongoing/Renewable
Salary:
Minimum $48,814 ANNUAL (12 months)
Depending on Qualifications

Salary will be determined based on skills and experience.
How to Apply:
Upload a cover letter, resume, and contact information for at least three professional references, including your current supervisor.

Your cover letter should address your qualifications as they pertain to the required job qualifications, along with any relevant preferred qualifications and interests and goals.

Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e., a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without need of employer sponsorship) on or before the effective date of appointment. University sponsorship is not available for this position.
Contact:
Angel Stampfli
angel.stampfli@wisc.edu
608-262-4078
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Official Title:
Data Engineer I(RE064) or Data Engineer II(RE065)
Department(s):
A34-OVCR/INS ON AGING/INST AGING
Employment Class:
Academic Staff-Renewable
Job Number:
304184-AS