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Google Test Engineer Jobs in Minnesota (NOW HIRING)

Shipt, Inc.

Senior Software Engineer

Minneapolis, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Every day you will work on a team of 5-6 engineers to design, develop, test, deploy and maintain ... Apache Kafka, Google Cloud Platform (GCP), Go Programming Language, Microservices ...

Shipt

Senior Software Engineer

Minneapolis, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Every day you will work on a team of 5-6 engineers to design, develop, test, deploy and maintain ... Apache Kafka, Google Cloud Platform (GCP), Go Programming Language, Microservices ...

Talent Glide

Java Developer + AWS

Richfield, MN · On-site

$52.75 - $68.25/hr

AWS/Google Cloud Platform 7 or more years of experience with software engineering 4 or more years ... Fluent in Test Driven Development Willingness to pair program as needed Bachelor''s degree in ...

Cheez

Collaborate with product and design teams (ex-Google/FB/Apple/Microsoft) to develop, test, and ... Minimum 2-3 years of software engineering experience * Have built mobile apps (and/or web apps ...

UnitedHealth Group

I O Engineer - 2381327

Eden Prairie, MN · Remote

$129K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... Google Cloud Platform, Azure, and AWS; build and maintain reusable Infrastructure as Code (IaC ... Candidates are required to pass a drug test before beginning employment.

M. A. Mortenson Company

AI Engineer

Minneapolis, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Test and evaluate AI solutions and functionalities within and beyond enterprise solutions ... Azure AI Foundry, Google Vertex) * Familiarity with agent frameworks, agentic workflows, and ...

Mortenson

AI Engineer

Minneapolis, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Test and evaluate AI solutions and functionalities within and beyond enterprise solutions ... Azure AI Foundry, Google Vertex) * Familiarity with agent frameworks, agentic workflows, and ...

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Showing results 21-40

All JobsGoogle Test Engineer JobsGoogle Test Engineer Jobs in Minnesota

Google Test Engineer information

See Minnesota salary details

$17

$43

$73

How much do google test engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for google test engineer in Minnesota is $43.33, according to ZipRecruiter salary data. Most workers in this role earn between $32.74 and $51.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Google Test Engineer?

To thrive as a Google Test Engineer, you need a solid background in software engineering, programming (such as Python, Java, or C++), and experience with test automation and QA methodologies. Familiarity with test frameworks like Selenium, Appium, or Google’s in-house tools, as well as CI/CD systems and cloud platforms, is commonly expected. Strong communication, problem-solving abilities, and a collaborative mindset are valuable soft skills in this position. These qualities are crucial for ensuring product quality, driving efficient testing processes, and working effectively within Google’s fast-paced, innovative teams.

What are some common challenges faced by Google Test Engineers, and how do they overcome them?

Google Test Engineers often work on complex, large-scale software products that require extensive automated and manual testing across multiple platforms. A common challenge is keeping up with rapid development cycles while ensuring test coverage and maintaining high-quality standards. Test Engineers overcome these challenges by collaborating closely with developers and product managers, utilizing advanced automation tools, and participating in regular code reviews and sprint planning. Proactive communication and adaptability help them identify issues quickly and implement solutions efficiently, making them key players in Google's agile development environment.

What is a Google Test Engineer?

A Google Test Engineer is responsible for ensuring the quality and reliability of Google's products through rigorous testing and automation. They design test plans, create automated testing frameworks, and collaborate with developers to identify and fix software issues. Test Engineers work with large-scale systems, debugging complex problems, and improving overall product performance. Their role is critical in maintaining Google's high standards for user experience and software quality.

What are popular job titles related to Google Test Engineer jobs in Minnesota?

For Google Test Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Google Test Engineer jobs in Minnesota look for?

The top searched job categories for Google Test Engineer jobs in Minnesota are:

Google Test Engineer jobs near you
Infographic showing various Google Test Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $90,132 per year, or $43.3 per hour.

Lead Data Engineer - Enterprise Data & Analytics - Remote

Mayo Clinic

Rochester, MN • On-site

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 16 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 699 frontline employees who took The Breakroom Quiz

129th of 887 rated healthcare providers

Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

Responsibilities

Lead data design, prototype, and development of data pipeline architecture pipelines. Lead implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Lead cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions. Excellent analytic skills associated with working on unstructured datasets. Understand the architecture, be a team player, lead technical discussions and communicate the technical discussion. Be a senior Individual contributor of the Data or Software Engineering teams. Be part of Technical Review Board along with Manager and Principal Engineer. Be a technical liaison between Manager, Software Engineers and Principal Engineers. Collaborate with software engineers to analyze, develop and test functional requirements. Serve as a hands-on technical leader who actively designs, develops, reviews, and optimizes production-grade data pipelines, data products, and platform capabilities. Maintain significant contribution to production codebases while establishing engineering standards, mentoring team members, and driving delivery of scalable, resilient solutions. Mentor and Coach Engineers. Work with team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work in an Agile/Safe/Scrum environment to deliver high quality software. Establish architectural principles, select design patterns, and then mentor team members on their appropriate application. Facilitate and drive communication between front-end, back-end, data and platform engineers. Play a formal Engineering lead role in the area of expertise. Keep up-to-date with industry trends and developments.


Key Responsibilities:
These positions are hands-on engineering roles. In this role, employees are expected to actively design, develop, review, and optimize production code and platform capabilities while providing technical leadership and mentorship to engineering teams.


Qualifications

Bachelor's Degree in Computer Science/Engineering or related field with 6 years of experience OR an Associate's degree in Computer Science/Engineering or related field with 8 years of experience. Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations. Have in-depth knowledge of data engineering and building data pipelines with a minimum of 5 years of experience in data engineering, data science or analytical modeling and basic knowledge of related disciplines. Worked and lead Data Engineering teams in Continuous Integration / Continuous Delivery model. Build/Lead Data products highly resilient in nature. Build/Lead Test Automation suites, Unit Testing coverage, Data Quality, Monitoring & Observability. A minimum experience of 5 years using relational databases and NoSQL Databases. Experience with cloud platforms such as GCP, Azure, AWS.
Continuous Integration using Jenkins, Git Hub Actions or Azure Pipelines. Experience with cloud technologies, development and deployment. Experience with tools like Jira, GitHub, SharePoint, Azure Boards. Experience using advanced data processing solutions/capabilities such as Apache Spark, Hive, Airflow and Kafka, GCP Dataflow. Experience using big data, statistics and knowledge of data related aspects of machine learning. Experience with Google BigQuery, FHIR APIs, and Vertex AI. Knowledge of how workflow scheduling solutions such as Apache Airflow and Google Composer related to data systems. Knowledge of using Infrastructure as code (Kubernetes, Docker) in a cloud environment.

The preferred candidate will possess:

  • Advanced proficiency in Python and SQL with demonstrated experience building and supporting production-grade solutions.
  • Advanced experience designing and implementing scalable distributed computing solutions using technologies such as Spark, Flink, Ray, or comparable frameworks.
  • Deep understanding of cloud-agnostic architecture principles and modern data platform design.
  • Advanced experience with open data architecture technologies including Apache Iceberg, Delta Lake, and Apache Hudi.
  • Strong expertise with modern analytical data formats including Parquet, Avro, and ORC.
  • Experience designing data platforms that support analytics, AI/ML, and operational workloads at enterprise scale.
  • Experience implementing CI/CD, automated testing, Infrastructure-as-Code, observability, and engineering best practices.
  • Experience designing systems for scalability, reliability, security, resiliency, and long-term maintainability.

Exemption Status
Exempt
Compensation Detail
$148,137.60 - $214,760.00/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
M-F daytime hours 100% remote role, the employee needs to live within the US.
Weekend Schedule
As business needs dictate
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'.  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter
Laura PercivalQualifications:

Bachelor's Degree in Computer Science/Engineering or related field with 6 years of experience OR an Associate's degree in Computer Science/Engineering or related field with 8 years of experience. Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations. Have in-depth knowledge of data engineering and building data pipelines with a minimum of 5 years of experience in data engineering, data science or analytical modeling and basic knowledge of related disciplines. Worked and lead Data Engineering teams in Continuous Integration / Continuous Delivery model. Build/Lead Data products highly resilient in nature. Build/Lead Test Automation suites, Unit Testing coverage, Data Quality, Monitoring & Observability. A minimum experience of 5 years using relational databases and NoSQL Databases. Experience with cloud platforms such as GCP, Azure, AWS.
Continuous Integration using Jenkins, Git Hub Actions or Azure Pipelines. Experience with cloud technologies, development and deployment. Experience with tools like Jira, GitHub, SharePoint, Azure Boards. Experience using advanced data processing solutions/capabilities such as Apache Spark, Hive, Airflow and Kafka, GCP Dataflow. Experience using big data, statistics and knowledge of data related aspects of machine learning. Experience with Google BigQuery, FHIR APIs, and Vertex AI. Knowledge of how workflow scheduling solutions such as Apache Airflow and Google Composer related to data systems. Knowledge of using Infrastructure as code (Kubernetes, Docker) in a cloud environment.

The preferred candidate will possess:

  • Advanced proficiency in Python and SQL with demonstrated experience building and supporting production-grade solutions.
  • Advanced experience designing and implementing scalable distributed computing solutions using technologies such as Spark, Flink, Ray, or comparable frameworks.
  • Deep understanding of cloud-agnostic architecture principles and modern data platform design.
  • Advanced experience with open data architecture technologies including Apache Iceberg, Delta Lake, and Apache Hudi.
  • Strong expertise with modern analytical data formats including Parquet, Avro, and ORC.
  • Experience designing data platforms that support analytics, AI/ML, and operational workloads at enterprise scale.
  • Experience implementing CI/CD, automated testing, Infrastructure-as-Code, observability, and engineering best practices.
  • Experience designing systems for scalability, reliability, security, resiliency, and long-term maintainability.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Mayo Clinic logo

About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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