How to ApplyA 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.
Job SummaryJob 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.
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 WorkPositions 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 the work modes .
Application DeadlineJob 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.
Job DetailJob Opening ID284852
Working TitleSenior Data Engineer
Job TitleData Architect Senior
Work LocationMichigan Medicine - Ann Arbor
Ann Arbor, MI
Modes of WorkMobile/Remote
Full/Part TimeFull-Time
Regular/TemporaryRegular
FLSA StatusExempt
Organizational GroupUm Hospital
DepartmentMM Quality - QA Admin
Posting Begin/End Date10/26/2026 - 11/02/2026
Career InterestInformation Technology
