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Entry Level Google Data Center Engineer Jobs in Wisconsin

Data Engineer I Job Summary: The Center for Health Disparities Research (CHDR), led by Director Dr. Amy Kind and Deputy Directors Drs. Nicole Rogus-Pulia and Andrea Gilmore-Bykovskyi, invites ...

New

Project Engineer, NA

Port Washington, WI · On-site

$65K - $83K/yr

Position Overview Vantage Data Centers is seeking a Project Engineer, NA to support construction ... Data center construction experience preferred. * Experience supporting CSA (civil, structural ...

Project Engineer, NA

Port Washington, WI · On-site

$65K - $83K/yr

Position Overview Vantage Data Centers is seeking a Project Engineer, NA to support construction ... Data center construction experience preferred. * Experience supporting CSA (civil, structural ...

WI · On-site

$88 - $126/hr

# Business Operations Program Manager, Data Center TechGoogle • onsite • Wilmer, TX, USA • full ... USD 88000.00 - USD 126000.00 / unspecifiedBusinesses of all shapes and sizes rely on Google ...

New

Lead Building Engineer

Beaver Dam, WI · On-site

$100K - $132K/yr

Meta is seeking a data center lead building engineer to join our data center facility operations team. Our data centers serve as the foundation upon whi.

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Entry Level Google Data Center Engineer information

What is the difference between Entry Level Google Data Center Engineer vs Entry Level Data Center Technician?

AspectEntry Level Google Data Center EngineerEntry Level Data Center Technician
Required CredentialsTypically a bachelor's degree in computer science, engineering, or related field; certifications like CompTIA A+ or Network+ are commonHigh school diploma or equivalent; certifications like CompTIA A+ are often preferred
Work EnvironmentDesign, maintain, and optimize data center infrastructure; involves troubleshooting hardware and network issuesInstall, maintain, and repair hardware and cabling; perform routine equipment checks
Employer & Industry UsageGoogle and large tech companies; focus on cloud infrastructure and data center operationsData centers across various industries; focus on hardware support and maintenance

While both roles support data center operations, the Entry Level Google Data Center Engineer typically involves more technical design and troubleshooting, requiring a degree and specialized certifications. The Entry Level Data Center Technician focuses on hardware installation and maintenance, often with less formal education but essential for day-to-day data center functionality.

What does an entry level Google data center engineer do?

An Entry Level Google Data Center Engineer is responsible for supporting the operation, maintenance, and troubleshooting of Google's data center infrastructure. Their tasks typically include monitoring systems, assisting with hardware installations and repairs, performing routine inspections, and responding to technical issues under the guidance of senior engineers. This role is crucial in ensuring that Google’s massive network of servers and associated hardware run smoothly and efficiently, providing reliable service for users worldwide. Entry level engineers also follow strict protocols to maintain security and data integrity within the facility.

What are the common challenges faced by entry level Google data center engineers during their first year on the job?

As an Entry Level Google Data Center Engineer, you may encounter challenges such as adapting to the fast-paced and highly secure environment, learning to troubleshoot hardware and networking issues efficiently, and mastering Google’s unique infrastructure tools and protocols. Collaborating with experienced engineers and other cross-functional teams is essential, and you’ll need to quickly become comfortable following strict operational processes. Over time, these challenges become valuable learning opportunities that help you build strong foundational skills and prepare for more advanced responsibilities.

What are the key skills and qualifications needed to thrive as an entry level Google data center engineer?

To thrive as an Entry Level Google Data Center Engineer, you need a solid understanding of computer hardware, networking fundamentals, and basic troubleshooting skills, typically supported by a degree in IT, computer science, or a related field. Familiarity with data center infrastructure management tools, Linux/Unix systems, and certifications like CompTIA A+ or Network+ are often valuable. Strong analytical thinking, attention to detail, and effective teamwork help you excel in maintaining uptime and working safely in high-stakes environments. These skills ensure the reliability, efficiency, and security of critical data center operations.
What are the most commonly searched types of Google Data Center Engineer jobs in Wisconsin? The most popular types of Google Data Center Engineer jobs in Wisconsin are:
What are popular job titles related to Entry Level Google Data Center Engineer jobs in Wisconsin? For Entry Level Google Data Center Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Entry Level Google Data Center Engineer jobs in Wisconsin look for? The top searched job categories for Entry Level Google Data Center Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Entry Level Google Data Center Engineer jobs? Cities in Wisconsin with the most Entry Level Google Data Center Engineer job openings:
Infographic showing various Entry Level Google Data Center Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 86% Full Time, and 14% Nights. Highlights an 100% In-person job distribution.

$82K/yr

Full-time, Part-time

Retirement, PTO

Posted 3 days ago

New


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.Job Category:Academic StaffEmployment Type:RegularJob Profile:Data Engineer IJob Summary:

The Center for Health Disparities Research (CHDR), led by Director Dr. Amy Kind and Deputy Directors Drs. Nicole Rogus-Pulia and Andrea Gilmore-Bykovskyi, invites applications from highly motivated individuals to join our dynamic, growing, and multidisciplinary team. As a Research Data Engineer with CHDR, you will have the opportunity to contribute to research projects with far-reaching influence, including the largest study of its kind on social determinants of health in the context of Alzheimer's disease. Broadly, our work is focused on mechanisms of health disparities - the ways fundamental factors such as race, ethnicity, and identity interact with a complex array of geopolitical, socioeconomic, health care, cultural, social, psychological, physiological, genetic, and cellular factors to produce different population health outcomes.

We are seeking a highly motivated individual to join our team and provide expertise on data pipeline management and database engineering within a research environment. This position will work with CHDR scientists and Data Operations peers to optimize current processes related to a relational database used for scholarly research. The Research Data Engineer will join a dynamic team that works on multi-unit projects, both internal and external to UW-Madison. These projects range from the management of a robust relational database in an Azure cloud platform to produce datasets for distribution among a 24-site consortium, the creation of data visualizations for publications, and working with data analysts and IT professionals in moving forward research in health disparities.

Under the guidance of one of CHDR's Research Scientists, the successful Research Data Engineer will assist the CHDR scientific team to optimize processes within a large-scale relational database to prepare and analyze data using reproducible pipelines for research purposes. Processing would include data from multiple sources, including geographically-linked metrics of socioeconomic factors and measures of health outcomes, furthering research on and interventions in the social determinants of health.

  • This position is full or part-time, 80%-100%.

  • This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.

Knowledge, Skills, & Abilities:

  • Excellent organizational skills, strong attention to detail, and the flexibility to work both independently and collaboratively.

  • Excellent interpersonal skills related to communicating and documenting steps in the data processing pipeline.

Key Job Responsibilities:
  • Develops, constructs, tests, and maintains architectures for large-scale data management and analysis
  • Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale
  • Organizes both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically
  • Selects appropriate technologies and optimizes pipelines for performance
  • Prepares data sets for current and future analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources and may use technologies that support data at scale
Department:

School of Medicine and Public Health, Center for Health Disparities Research, Data Analytics Core

The Center for Health Disparities Research (CHDR) is a dynamic multidisciplinary Center housed within the University of Wisconsin-Madison School of Medicine and Public Health (SMPH). Broadly, CHDR focuses on mechanisms of health disparities - with a particular focus on the social exposome and its relationship to health. CHDR is the home to the team that refined and curates the Area Deprivation Index and its data democratization portal, the Neighborhood Atlas. CHDR is also home to the Neighborhoods Study, an NIH funded national initiative to examine the adverse social exposome's impact on neuropathology and brain health biomarkers. CHDR investigators represent all areas of the translational research spectrum, from basic science to community participatory research. CHDR also has strong relationships with local, state and federal government, non-profit organizations, and industry entities.

Compensation:
  • The expected salary range for this position is $ 62,310 up to $82,000 for highly experienced candidates and actual pay within this range will depend on experience and qualifications.

  • Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage. SMPH Academic Staff Benefits Flyer

Required Qualifications:
  • Intermediate or advanced experience using R or Python to perform data processing/ETL tasks.

  • Comfortable working in a command line environment.

  • Demonstrated experience with large scale relational database management systems.

  • Demonstrated experience in a research setting.

Preferred Qualifications:

  • Intermediate or advanced experience using R or Python and/or SQL to perform data processing/ETL tasks.

  • Demonstrated experience with data pipelining, task automation, data structures and algorithms.

  • Experience developing, debugging, and testing data processing pipelines.

  • Familiarity with Git or other version control systems.

  • Familiarity with containerization and/or virtual environment management using Docker, conda, venv, etc.

  • Familiarity with REDCap.

  • Experience working with PHI and other sensitive data.

Education:

Bachelor's Degree Preferred

How to Apply:

To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.

Important: There is only one attachment field. All required documents must be combined into a single file and uploaded in that field.

Required documents:

  • Cover letter

  • Resume

Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.

University sponsorship is not available for this position, including transfers of sponsorship and TN visas.The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment.This position is an ongoing position that will require continuous work eligibility.If you are selected for this position you must provide proof of work authorization and eligibility to work.

Contact Information:

Kim McFarlane, kmmcfarlane@wisc.edu

Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.


The University of Wisconsin-Madison is an Equal OpportunityEmployer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.


To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.


Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.