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How to Apply

To be considered, a cover letter and resume are required.  The cover letter must be the leading page of your resume and should:

  • Specifically outline the reasons for your interest in the position and
  • Outline your particular skills and experience that directly relate to this position.

Starting salaries will vary depending upon the qualifications and experience of the selected candidate.

Underfill Statement

This position will be filled at the Intermediate level salary range of $57,692 - $82,500 as the primary goal. The requirements listed below reflect the Intermediate level expectation. Applicants with lesser experience are encouraged to apply and may be considered if the primary goal is not met. Lesser-experienced candidates will be reviewed at an Associate level salary range of $47,476 - $59,000.

**Note:  This is a full-time (40 hrs/wk), term-limited appointment with funding ending on June 30, 2021.**

Job Summary

The Advanced Research Computing - Technology Services (ARC-TS) organization within Information and Technology Services has an exciting opportunity for a Research Data Analytics System Administrator Intermediate. This position will report to the Research Computing Manager.

This position will be a part of a team responsible  for designing, building, operating, and supporting world-class Data Analytics platforms for research. These platforms will consist of Apache Spark and other at-scale analytics tools to support faculty as part of the University of Michigan Data Science Initiative.  They will also assist in developing data analytics in the cloud solutions for research.  This role will be dynamic to meet the changing requirements for building and supporting new and innovative systems to meet faculty needs.


ITS supports U-M faculty, researchers, staff, and students in their use of technology to teach, learn, research, and work, and be leaders in their fields. We are dedicated to creating cohesive digital experiences and enabling university wide innovations by:

  • Elevating the customer experience by providing proactive, laser focused customer service
  • Providing appropriate IT security and privacy in an open university society, while enabling innovation
  • Supporting data-informed decision making
  • Delivering intuitive research computing solutions
  • Building a world-class, transformational network and reliable administrative systems

In addition, we value those that proactively solve challenges, work with a sense of urgency, and seek a collaborative and inclusive work environment. 

ITS’s mission is to be trusted enablers of technology for the U-M community. ITS works together to provide cohesive digital experiences and seamless support to the U-M community. To learn more, visit:

Advanced Research Computing - Technology Services (ARC-TS) is the University of Michigan's research IT provider specializing in High Performance Computing (HPC), Big Data (Hadoop/Spark/etc), high speed networking, storage, and other technologies to accelerate the research mission of the institution. For more information about ARC-TS visit our website:


You are energized by working with a collaborative team and industry peers to support the university mission through innovative and appropriate use of technology. You seek understanding and to tackle projects and problems with your customers’ needs in mind. You anticipate problems and work proactively to preempt challenges and concerns, delivering increasingly relevant customer experiences over time. You value a culture that is rooted in mutual respect, where you can learn from different perspectives, roles, and identities.

You have three (3) or more years experience in a production Linux environment, excellent troubleshooting skills, a strong understanding of bash/shell, and either of Perl or Python, and experience with data analytics tools.


Operating System Support

  • Apply system patches
  • Design, develop, and manage data on data science clusters
  • End-to-end performance tuning of data analytic clusters and Spark and other analytics routines against very large data sets 
  • Keep abreast of new methods, functionality, and releases to enhance local cluster capability
  • Create and maintain documentation for data science clusters

User support for systems related issues

  • Install and debug software
  • Assist customers  in troubleshooting Kubernetes /  Spark Jobs
  • Assist in integrating cloud analytics tools and APIs into research workflows
  • Investigate ways to improve customer experience

System capacity planning (data centers, networking, etc.)

  • Maintain node inventory
  • Manage data center use
  • Manage hardware availability

Work with other ARC-TS and ARC-TS affiliated staff to support computational research around the University.

Stay abreast of application technology trends in scientific hardware and environments (Computers, accelerators, system management methods, etc.)

Required Qualifications*

  • Bachelor’s degree in computer science, engineering or an equivalent combination of education and experience
  • Three (3) or more years in a production Linux environment
  • Experience using bash/shell, and either of Perl or Python
  • Strong understanding of configuration management and system provisioning methods and tools
  • Strong understanding of security practices in a shared environment
  • Understand Unix/Linux TCP/IP networking
  • Understanding of SQL
  • Understanding of modern data analytics tools
  • Ability to creatively improve workflows and processes
  • Strong troubleshooting skills
  • Ability to manage priorities in the face of multiple requests and projects
  • Ability to self direct as well as participate in a larger distributed support structure
  • Demonstrated effective creative problem solving and flexibility when collaborating with customers, team members support teams, external vendors, and technical organizations to understand, advocate for, evaluate, and support enhancements, resulting in plans and services that leverage the capabilities of existing technology and meet customer and organizational expectations
  • Demonstrated effective written and verbal communication skills including strong interpersonal skills with an ability to work effectively through all levels of management and matrix organizations
  • Demonstrated ability to establish and maintain effective relationships with internal and external customers in a manner that consistently meets the organization’s expectations for exemplary customer service
  • Excellent organizational, analytical and independent problem-solving skills
  • Ability to influence others in the building and maintaining consensual approach with a wide array of diverse business interests

Desired Qualifications*

  • Familiar with batch computing environments (Torque, slurm, HT-Condor)
  • Familiar with Kubernetes 
  • Experience with Kickstart or Ansible.
  • Experience providing IT support in an academic environment
  • Experience with Cloud API’s and methods (AWS, Azure, GCP, OpenStack)
  • Experience with Elasticsearch and Logstash
  • Experience with GPU Accelerators
  • Experience supporting data scientists 
  • Familiar with any of C/C++, java/scala, MATLAB, Fortran, R, CUDA, or OpenACC

Additional Information

Information and Technology Services is excited to be filling 40-plus positions this fall to support the missions of the university through the innovative and appropriate use of technology. We have been strategic in our hiring over the last two years in order to fund and invest in our future with these key positions. As a valued team member, you will help create and run the technology that powers the University of Michigan – supporting the students, faculty, and staff who are helping to improve the world!  

Physical Demands / Work Environment

Normal amount of sitting, average mobility to move around an office environment; able to conduct normal amount of work at a computer; travel to various locations on and off campus.  Punctual, regular, and consistent attendance is required.  May require on-call availability and may require working during non-business hours and on weekends.

NOTE - This position may work with and/or support systems that maintain or process sensitive institutional data as defined by university policy.  Successful candidates must comply with federal, state and local law and/or university policies or agreements that require the university to implement specific privacy and security safeguards including, but not limited to:  ITAR, EAR, HIPAA and FISMA.  Responsible for protecting data and information from unauthorized release or from loss, alteration or unauthorized deletion; and, following applicable regulations and instructions regarding access to computerized files, release of data, etc. as stated in a computer access agreement.

Diversity, Equity and Inclusion

The University of Michigan Information and Technology Services seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the University and to offer our students richly varied disciplines, perspectives and ways of knowing and learning.

Comprehensive Benefits

The University of Michigan Benefits Office is committed to offering a high-quality benefits package to support faculty, staff and their families.  Learn more about our 2:1 retirement matching, healthcare plans with nationwide coverage including prescription drug coverage, three dental plans, a vision plan, flexible spending account, well-being programs, long-term disability, automatic life insurance, general legal services, three early childhood centers, time away from work and work-life programs to promote balance.  Learn more at


  • The University of Michigan is ranked the No. 3 public university in the 2020 U.S. News & World Report’s annual report of the nation’s best undergraduate colleges and universities.
  • The University of Michigan is ranked No. 6 on Kiplinger’s list of Best Values in Public Colleges, again making U-M one of the nation’s best values in higher education for in-state students.  The ranking highlights colleges and universities that combine outstanding education with economic value.
  • For the third straight year, the University of Michigan maintained its position as the 15th top university in the world, according to the Times Higher Education World Reputation Rankings.
  • The University of Michigan maintained its ranking as the top U.S. public university in the QS World University Rankings for 2019-20 and ranked 21st among all institutions on the list, moving down one spot from last year in the ranking released Tuesday, 06/18/2019.

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.

U-M EEO/AA Statement

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