Data Engineer II (Information Technology)
Work Schedule:
This is a full-time, 40 hours per week position scheduled Monday through Friday, typically between the hours of 8:00 AM – 5:00 PM. Applicants hired into this position can work remotely from most states. This will be discussed during the interview process.
Be part of something remarkable
Have a hand in building data pipelines and objects that improve the lives and care of our patients. Contribute to changing the way analytics are used at the #1 hospital in Wisconsin. Work remotely on a highly collaborative team that comes together every day to apply their skills to work that goes far beyond just selling a widget.
We are seeking a Data Engineer II to:
- Lead our data engineering team and data science teams into expanded, more efficient use of Azure, Databricks, and other cloud technologies.
- Leverage knowledge and skill with a variety of data engineering, DataOps, and data warehousing methodologies, techniques, tools, and platforms to move and transform large quantities of data from multiple sources.
- Develop and maintain trusted advisor relationships with business, clinical, and operations leaders that include guidance for optimizing use of analytic capabilities and deliverables.
- An excellent benefits package, including health and dental insurance, paid time off and retirement plans.
- Options for a variety of schedules and shifts that offer flexibility and allow for work-life balance.
- Access to UW Health's Wellness Options at Work that support employee/family well-being.
- Tuition reimbursement - UW Health invests in your professional growth by helping pay for coursework associated with career advancement.
Education:
Minimum – Bachelor's Degree in Healthcare, Information Systems, Computer Science, Engineering, Business, Data Science or related field. (Four years relevant work experience may be considered in lieu of educational requirement)
Work Experience:
Minimum –
- Demonstrated success in designing, developing, implementing, testing, and operating large-scale, high-volume, high-performance data structures and other purpose-built data stores for analytics, reporting, machine learning, and data science with low technical debt
- Demonstrated success building robust, scalable, reliable data pipelines of medium complexity
- Demonstrated success automating and/or continually improving ongoing data pipelines and reporting and analysis processes
- Demonstrated success translating requests and requirements into technical specifications
Licenses and Certifications:
Minimum – None
Our Commitment to Diversity, Equity, and Inclusion
UW Health is committed to being a diverse, equitable, inclusive and anti-racist workplace and is an Equal Employment Opportunity, Affirmative Action employer. Our integrity shines through in patient care interactions and our daily work practices as we work to embrace the knowledge, unique perspectives and qualities each employee and faculty member brings to work each day. Applications from Black, Indigenous and People of Color (BIPOC) individuals, LGBTQ+ and non-binary identities, women, persons with disabilities, military service members and veterans are strongly encouraged. EOE, including disability/veterans.
UW Medical Foundation benefits
