Senior Data Engineer

Senior Data Engineer

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How to Apply

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Mission Statement

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Job Summary

Job Summary/Overview:

As a Senior Data Engineer on Michigan Medicine's Quality Analytics team, you will design and deliver trusted data solutions that support healthcare quality, patient safety, and operational improvement. You will work with clinical, analytical, and technical partners to integrate complex healthcare data, develop scalable data models and pipelines, automate data-quality controls, and improve the reliability of enterprise reporting. This senior individual-contributor role offers meaningful technical ownership, opportunities to modernize our data platform, and the ability to influence how data supports decision-making across a leading academic health system.

About the Division:

The Quality Analytics division is a diverse team of data management professionals, application developers, BI specialists, and both technical and clinical analysts who use data to address complex healthcare challenges. The team provides trusted analytics that help Michigan Medicine leaders identify, assess, and monitor key measures to improve healthcare quality, patient safety, population health, and ambulatory and inpatient care delivery. Team members work collaboratively across clinical, operational, and technical disciplines within a leading academic health system.

Responsibilities*

70%

• Design, build, test, deploy, and maintain scalable data pipelines, models, and warehouse solutions.

• Translate clinical and business requirements into secure, reliable technical designs.

• Troubleshoot production issues, perform root-cause analysis, and implement preventive improvements.

• Optimize data solutions for performance, reliability, maintainability, and cost.

• Conduct design and code reviews and contribute to engineering standards.

• Partner with data governance and security stakeholders to protect sensitive information.

20%

• Establish and perform data validation, reconciliation, and monitoring to ensure data quality, accuracy, completeness, and integrity.

• Proactively identify, evaluate, and recommend new technologies, tools, and approaches to modernize and improve the data environment's performance, scalability, reliability, and maintainability.

• Create and maintain clear technical documentation for data models, pipelines, processes, and database management activities.

• Collaborate with team members to plan and deliver work according to project priorities and milestones.

• Mentor colleagues and share technical knowledge across the team.

10%

• Communicate status of work to project leadership, project managers, and team members.

• Communicate potential risks, issues, and mitigation strategy to team members.

• Other duties as assigned.

Required Qualifications*

• Bachelor's degree in computer science or a related field, or an equivalent combination of education and experience.

• 3 - 5 years of experience in data engineering, database design, data warehousing, or data management.

• Experience developing data pipelines, data warehouses, data marts, or similar data platforms.

• Demonstrated healthcare data architecture experience, including data management and integration across multiple data sources.

• Advanced SQL skills and experience with procedural SQL, such as PL/SQL or Transact-SQL.

• Experience with data modeling, Extract, Transform, and Load (ETL) or Extract, Load, and Transform (ELT), testing, monitoring, and troubleshooting.

• Demonstrated ability to investigate complex data issues and perform root-cause analysis.

• Ability to translate business requirements into maintainable technical solutions.

• Demonstrated commitment to data security, privacy, and responsible handling of sensitive information.

• Strong written and verbal communication skills, with the ability to collaborate effectively across technical and nontechnical teams, organizational levels, and external partners.

• Ability to adapt to changing priorities/environment.

• Ability to reliably attend virtual meetings.

Desired Qualifications*

• Experience with Epic Clarity and/or Caboodle.

• Experience with Centers for Medicare & Medicaid Services data, claims, registries, or other third-party healthcare datasets.

• Experience with Oracle, Microsoft SQL Server, and/or Azure SQL Database.

• Experience using artificial intelligence-assisted development tools, such as Claude Code or Codex, to support data engineering, coding, testing, documentation, and troubleshooting tasks.

• Experience with Microsoft Fabric data engineering capabilities.

• Experience with XML and/or SAS.

• Master's degree in computer science or a related field.

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world's most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

• Excellent medical, dental and vision coverage effective on your very first day

• 2:1 Match on retirement savings

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about thework modes (https://hr.umich.edu/working-u-m/my-employment/ways-we-work-resource-center/ways-we-work-implementation-group/modes-work) .

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 any time after the minimum posting period has ended.

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.

Job Detail

Job Opening ID

284852

Working Title

Senior Data Engineer

Job Title

Data Architect Senior

Work Location

Michigan Medicine - Ann Arbor

Ann Arbor, MI

Modes of Work

Mobile/Remote

Full/Part Time

Full-Time

Regular/Temporary

Regular

FLSA Status

Exempt

Organizational Group

Um Hospital

Department

MM Quality - QA Admin

Posting Begin/End Date

10/26/2026 - 11/02/2026

Career Interest

Information Technology

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