Data Engineer Data Bricks Jobs in Madison, WI (NOW HIRING)

About Us: The Institute on Aging is a research unit whose mission is to promote the health and well-being of the adult and aging populations through excellence in multidisciplinary research, education, and outreach. For the past 2.5 decades, the IOA has led a large national longitudinal study of health and well-being in 11,000+ American adults. Known as MIDUS (Midlife in the US), the study examines influences of emotion, personality, biology, genetics, and neuroscience as well as the influences of work and family life, class, culture, race/ethnicity, and historic events to understand trajectories of health across the decades of adult life. Data from MIDUS are publicly available and are used by thousands of researchers all over the world. To date, 2,000+ publications have been generated across diverse fields. The study is also used by graduate students around the U.S. to complete masters and doctoral degrees.

The Data Engineer will process and clean MIDUS data delivered to the Administrative Core by the data collection sites (Pennsylvania State University, Brandeis University, UW-Madison and Georgetown) ; Prepare data, metadata, and documentations for new or updated MIDUS data releases; Maintain and update the MIDUS Colectica Portal; Respond to data or documentation requests for non-public released MIDUS data.

Additional Information:

• This position is being posted at Data Engineer levels 1 and 2. Level and pay are commensurate with experience.

• This position is expected to have a work schedule from Monday to Friday within normal business hours.

• The position is located in Madison, WI. The selected candidate must live in or be willing to relocate to the Madison, WI area.

• Organizes both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically

• Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale

• May supervise the data-to-day activities of staff and resolves routine personnel issues

• 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

• 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

• Develops, constructs, tests, and maintains architectures for large-scale data management and analysis

• Selects appropriate technologies and optimizes pipelines for performance

Institute on Aging

The starting salary for the position is $50,278 for the Data Engineer I, or $63,230 for the Data Engineer II, but is negotiable based on experience and qualifications.

This position offers a comprehensive benefits package, including generous paid time off, competitively priced health/dental/vision/life insurance, tax-advantaged savings accounts, and participation in the nationally recognized Wisconsin Retirement System (WRS) pension fund. For a summary of benefits, please see https://www.wisconsin.edu/ohrwd/benefits/download/fasl.pdf

• Experience with survey data (cleaning and coding the raw data; creating documentation for dissemination).

• Detail-oriented, excellent interpersonal, problem-solving, and organizational skills.

• Experience with SPSS.

• Either two years of related experience in social science, epidemiology, or population health, OR equivalent training or experience in data management or data curation.

• Experience reviewing other team members' technical work and providing constructive feedback.

• Excellent verbal and written communication skills.

• Ability to work well independently as well as on a team.

Bachelor's degree required. Graduate work or degree in social sciences, epidemiology, population health, or information science preferred.

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Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Cover letters will be used as a writing sample and to determine the best-qualified applicants. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.

University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous 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 the need of an employer sponsorship) on or before the effective date of appointment. This position is an on going position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.

Angel Stampfli

angel.stampfli@wisc.edu

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.

The University of Wisconsin-Madison is an Equal OpportunityEmployer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, 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 by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

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