Summary

Are you looking to use your data and management skills to make a difference in the lives of thousands of patients and medical trainees? Do you bring your creativity and problem-solving skills to tackle big challenges? Do you want to work in a high functioning team who value trust, candor, and learning??

We are looking for a talented data engineer to join the Society for Improving Medical Professional Learning (SIMPL), a growing non-profit building the next generation of data infrastructure to improve medical education and patient outcomes. At SIMPL you will be a lead data engineer, focused on designing and building novel infrastructure to support data-driven impact around the world. You will work alongside a team of engineers, product designers, and support staff to ship real product features to physician faculty and trainees globally. We’re looking for creative, enthusiastic individuals who can work autonomously with a high degree of quality and craftsmanship.

Who We Are

Organized as a 501(c) 3 non-profit organization, the SIMPL collaborative now encompasses over 200 medical residency training programs in 20 different specialties in 7 countries, all of whom share a common vision to support continuous improvement in the medical education system. We are a small non-profit that lives within the hiring system of the University of Michigan, which allows our team to have the flexibility of a small company with the benefits package of a global leader in higher education. The SIMPL team is primarily remote and has flexible working hours.

Responsibilities*

• Responsible for design, development, and implementation of all things related to SIMPL data.
• Troubleshoot opportunities for improvement, run diagnostic tests, identify root cause, fix and document problems, and implement preventive measures.
• Ensure data warehouse performance, uptime, and scale, maintaining high standards of code quality and thoughtful design.
• Able to communicate requirements questions and technical issues to a non-technical audience.
• Ensure adherence to security best practices.

Required Qualifications*

Lead:

• Bachelor’s degree in computer science, information technology, or related field.
• 5+ years of prior work experience, preferably in product-centric role(s) focused on data and analytics storage,ingress, and egress
• Experience in designing, developing, user research and maintaining dynamic products and solutions
• Prior data team leadership experience

Staff Specialist:

• all the above with 8+ years experience

Desired Qualifications*

• Agile development experience
• Intellectual curiosity and an interest in being part of a culture of continuous learning, mentoring, and coaching.
• Passionate about leading, influencing, and motivating colleagues and have a track record of building impactful teams
• Programming experience with AWS, Git, Python, R, Scala.

Underfill Statement

Position is posted with an underfill. Classification will be based on education and experience.

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Application Deadline

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

Vaccine Requirements

COVID-19 vaccinations are required for all students, faculty and staff working in the following areas: Michigan Medicine including the Medical School, Dental School, University Health Service or the Mary A. Rackham Institute.  This includes those working remotely and temporary workers.   More information on this new policy is available on the U-M Health Response.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.