Data Engineer

Salary:

Minimum $61,388 ANNUAL (12 months)
Depending on Qualifications

Salary will be determined based on skills and experience.

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: Contributes to a research agenda set by a lead researcher by creating automated processes for preparing and analyzing data at scale. Plays a leadership role and may lead a team and/or personnel.

• 40% 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
• 5% Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale
• 20% Organizes both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically
• 10% Selects appropriate technologies and optimizes pipelines for performance
• 5% Develops, constructs, tests, and maintains architectures for large-scale data management and analysis
• 10% Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding automated data management and analysis at scale for research and represents the interests of large-scale data management and analysis for research
• 10% May supervise the data-to-day activities of staff and resolves routine personnel issues

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

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 of relevant preferred qualifications and interests and goals.

A successful applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the 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 II(RE065)

Department(s):

A34-OVCR/INS ON AGING/INST AGING

Employment Class:

Academic Staff-Renewable

Job Number:

302633-AS

The University of Wisconsin-Madison is an Equal Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence through diversity and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, click here

If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website: https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/

Employment may require a criminal background check. It may also require you and your references to answer questions regarding sexual violence and sexual harassment.

The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).

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