Data Integration Engineer

About Us: The UW School of Medicine and Public Health (SMPH) is a leader in research and innovation, dedicated to improving patient outcomes through advanced data science and analytics. We are seeking an experienced Data Integration Engineer for the Wisconsin Health Data Hub (WHDH), recently funded by the EDA as part of the Tech Hub (https://news.wisc.edu/federal-funds-awarded-for-biohealth-with-uw-madison-leading-the-way/) initiative, and drive transformative data science projects to enhance healthcare and research at SMPH.

Job Summary: Are you passionate about improving patient health outcomes, optimizing healthcare processes, and advancing science? Join our dynamic Informatics and Information Technology team at the University of Wisconsin School of Medicine and Public Health in Madison, Wisconsin. We are committed to revolutionizing healthcare through implementation of advanced data science approaches, conducting cutting-edge data-centric research, and generating real-world evidence to improve patient health outcomes at UW Health and beyond. The Data Integration Engineer will be responsible for integrating multifaceted biomedical data and designing/ implementing end-to-end data solutions using Azure.

On a day-to-day basis, the incumbent could expect to engage in the following activities in supporting researchers that use WHDH services:
- Design, develop, and maintain data integration pipelines to aggregate and harmonize biomedical data from various sources.
- Collaborate with cross-functional teams, including data scientists, bioinformaticians, and software engineers, to ensure seamless data integration and accessibility.
- Implement and optimize ETL (Extract, Transform, Load) processes to support data analysis and reporting.
- Develop and maintain data models, schemas, and documentation to ensure data consistency and integrity.
- Develop/Implement privacy preserving linkage data pipelines as needed for research projects to integrate data from multiple sources.
- Perform data quality assessments and implement data validation procedures to ensure accuracy and reliability.
- Troubleshoot and resolve data integration issues, ensuring timely and accurate data delivery.
- Stay up to date with the latest advancements in biomedical data integration technologies and best practices.
- Work closely with data governance and security to ensure compliance with privacy regulations (e.g., NIST, HIPAA) when working with healthcare data; and address bias and fairness issues in AI models when dealing with sensitive health data.

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

Preferred
Associate's Degree

Required:
- Proven experience as a Data Architect or in a similar role.
- Expert knowledge of Microsoft Azure data services (e.g., Synapse, Data Factory, Data Lake Storage, Azure SQL Database).
- Proven experience in data integration, ETL processes, and database management.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data integration tools and platforms (e.g., Talend, Informatica).
- Strong understanding of data modeling, data warehousing, and ETL processes.
- Knowledge of data governance and data quality principles.
- Strong understanding of biomedical data standards and formats (e.g., HL7, FHIR, DICOM).
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.

Preferred:
- Knowledge of machine learning and data analytics techniques.
- Familiarity with regulatory requirements and data privacy standards in the biomedical field.

Additionally required to be considered for level III:
- Demonstrated ability in mentoring colleagues in best practices regarding data use and data integrations
- Examples of a proactive approach to handling data integration issues

Full Time: 100%

This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.

Ongoing/Renewable

Minimum $90,000 ANNUAL (12 months)
Depending on Qualifications
The starting salary for the position is $90,000 but is negotiable based on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at (https://hr.wisc.edu/benefits/).

SMPH Academic Staff Benefits flyer: (https://uwmadison.box.com/s/r50myohfvfd15bqltljn0g4laubuz7t0)

University sponsorship is not available for this position, including transfers of sponsorship. 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 ongoing 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.

Applicants for this position will be considered for the titles listed in this posting. The title is determined by the experience and qualifications of the finalist.

To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience.

Cody Roekle
croekle@wisc.edu
608-263-7676
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Technical Integration Eng II(IT042) or Technical Integration Eng III(IT043)

A53-MEDICAL SCHOOL/Informatics and IT

Academic Staff-Renewable

310826-AS