Job No. 158251
- Job Title:
- Database Engineer
- Employer:
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University of Michigan-Ann Arbor
- Location:
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Ann Arbor , MI
- Posting Date:
- 14-Apr-2026
- Description:
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Job Summary
The Data Office is a strategic unit within the University of Michigan Medical School's Office of Research which fills a known gap between U-M research community's data needs and the robust information systems containing clinical data. The Data Office is composed of 10 passionate, results-oriented, innovative, team members who serve more than 1,000 U-M researchers annually.
We are looking for a dynamic addition to the team who will support our success by maintaining and optimizing enterprise data infrastructure for research, and occasioning creating custom data extracts from this infrastructure. The ideal candidate will perform this service-customer facing role by identifying cost effective, highly secure database processes and help bring our research community into a modern environment of advanced data use for cutting-edge discoveries and translation of scientific findings.
Reliable, actionable data about patient health has never been in such high demand, and we are seeking a self-motivated, creative, detail-oriented Data Engineer to join our dynamic team!
Under general supervision, responsible for planning, conducting, and coordinating the application of enterprise research information system techniques to existing and future needs. Participates in systems development and maintenance. Conducts analysis of complex data processing applications and prepares feasibility studies to evaluate user needs for new or revised systems. Investigates available hardware and software configurations and capabilities; recommends optimal system to meet Office of Research strategic objectives.
Responsibilities*
40%
Serve as a lead database expert on OoR data infrastructure
Perform complex systems analyses and programming tasks requiring advanced techniques.
Develop back-end for web applications, creating database structures such as application-specific schema and stored procedures.
Handle the deployment of apps including configuration of internal web servers. Custom programming as necessary.
Participate with research related projects involving complex queries and database work.
25%
Prepare detailed specifications from which programs will be written. Design, code, test, debug, and document those programs. Competent to work at the highest technical level of all phases of applications systems analysis and programming activities. May be responsible for completion of a phase of a project.
Provide technical advice and consultation on difficult analysis and programming problems requiring advanced techniques.
Provide recommendations for application and system improvements.
Aid in developing programming, systems analysis and documentation standards.
Prepare and conduct comprehensive system and programming tests. Debug malfunctions and modify programs accordingly.
Coordinate the interfaces between major systems and programs.
Work with Data Scientists on data needs and analytics. Opportunity is available to expand work to data modeling and creating Ml/AI models in data science field.
25%
Support clinical research through mapping of data sources.
Development of complex database queries for diverse clinical researchers.
Join data from various systems, disparate databases into a cohesive set for analytics.
10%
10% Attend meetings, respond to email, documentation.
Required Qualifications*
Bachelor's Degree in Computer Science or related fields with at least 3 years of experience in programming languages such as C, C++, C# or Java.
Experience working with relational databases like SQL, Oracle, PostgreSQL, MySQL
Basic understanding of data used in research: HIPAA regulations, IRB processes, compliance/IA guide rails for data sharing, etc.
Strong analytical and problem-solving abilities, with keen attention to detail.
Demonstrated ability to work independently, manage multiple priorities, and meet deadlines.
Experience with Data Science concepts.
Ability to interact effectively with a wide variety of collaborators, internally and externally.
- Contact information:
- University of Michigan-Ann Arbor
- Ann Arbor, MI 48109
- United States
- Employer's Website:
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