Senior Data Engineer

Michigan Medicine; Ann Arbor (MI); Hybrid; USD 110.000 - 160.000; Vollzeit

Zusammenfassung

Michigan Medicine is seeking a Senior Data Engineer to design and deliver trusted data solutions that support healthcare quality, patient safety, and operational improvement. The role collaborates with clinical, analytical, and technical partners to integrate complex data, develop scalable models, automate data-quality controls, and improve enterprise reporting.

This senior individual-contributor position offers technical ownership and opportunities to modernize the data platform while

Qualifikationen

• 3–5 years of experience in data engineering, data warehousing, or data management.
• Healthcare data architecture experience across multiple data sources.
• Advanced SQL skills and PL/SQL or Transact-SQL.
• Ability to translate business requirements into maintainable technical solutions.
• Strong written and verbal communication, with cross-functional collaboration.

Aufgaben

• 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.
• Establish data quality validation, reconciliation, and monitoring.
• Mentor colleagues and share knowledge.

Kenntnisse

Advanced SQL

Data modeling

ETL/ELT

Data pipelines

Healthcare data

Root-cause analysis

Security & privacy

Ausbildung

Bachelor's degree in CS or related

Master's degree in CS

Tools

Epic Clarity

Caboodle

Oracle

SQL Server

Azure SQL Database

Claude Code / Codex

XML

SAS

Jobbeschreibung

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/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 the work modes.

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.