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Pytest Jobs in Minnesota (NOW HIRING)

System One

Data Scientist

Minneapolis, MN · On-site

Experience using automated testing frameworks (pytest, unittest) and writing unit/integration tests. * Hands-on experience developing RESTful APIs using frameworks like FastAPI or Flask.

System One

Data Scientist

Minneapolis, MN · On-site

Experience using automated testing frameworks (pytest, unittest) and writing unit/integration tests. * Hands-on experience developing RESTful APIs using frameworks like FastAPI or Flask.

Infosys

Java Full Stack Developer

Minneapolis, MN · On-site

$68K - $111K/yr

Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq Additional Required Qualifications • Bachelor's degree or foreign equivalent required ...

New

Infosys

Java Full Stack Developer

Minneapolis, MN · On-site

$68K - $111K/yr

Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq Additional Required Qualifications • Bachelor's degree or foreign equivalent required ...

New

UnitedHealth Group

Senior AI/ML Engineer

Minnetonka, MN · Remote

$120K - $214K/yr

Python (typing, pytest, packaging), SQL; shell for automation * 2 years in Observability & Monitoring * SLOs for latency/cost/error; drift/skew detection * 2 years in Model Registry, Experiment ...

UnitedHealth Group

AI/ML Engineer

Minnetonka, MN · Remote

$98K - $176K/yr

Experience with software development/deployment tools: (Python IDE(s), Pytest, Jira, GitHub, Jenkins) * Experience with additional programming tools: (Shell scripts, Terraform, Docker) * Familiar ...

New

UnitedHealth Group

Senior AI/ML Engineer

Minnetonka, MN · On-site

$120K - $214K/yr

Python (typing, pytest, packaging), SQL; shell for automation * 2+ years in Observability & Monitoring * SLOs for latency/cost/error; drift/skew detection * 2+ years in Model Registry, Experiment ...

UnitedHealth Group

AI/ML Engineer

Minnetonka, MN · On-site

$98K - $176K/yr

Experience with software development/deployment tools: (Python IDE(s), Pytest, Jira, GitHub, Jenkins) * Experience with additional programming tools: (Shell scripts, Terraform, Docker) * Familiar ...

New

All JobsPytest JobsPytest Jobs in Minnesota

Pytest information

What is Pytest and what is it used for?

Pytest is a popular testing framework for Python that allows developers to write simple as well as scalable test cases. It is widely used for unit testing, functional testing, and integration testing in Python projects. Pytest makes it easy to write small tests, yet it scales to support complex functional testing for applications and libraries. Its rich plugin architecture and simple syntax make it a preferred choice for many Python developers.

What are the key skills and qualifications needed to thrive as a Pytest Automation Engineer, and why are they important?

To excel as a Pytest Automation Engineer, you need strong programming skills in Python, a solid understanding of software testing principles, and experience with test automation frameworks. Familiarity with Pytest, continuous integration tools (like Jenkins), and version control systems (such as Git) is typically required, along with relevant certifications in software testing or Python development. Attention to detail, analytical thinking, and effective communication help you identify issues quickly and collaborate across development teams. These abilities are crucial for ensuring software quality, speeding up release cycles, and maintaining robust, scalable test systems.

How does a Pytest automation engineer typically collaborate with developers and QA teams during a software release cycle?

As a Pytest automation engineer, you will often work closely with both developers and QA professionals throughout the software release cycle. You’ll be responsible for creating and maintaining test suites using Pytest, reviewing code changes, and ensuring that automated tests cover new features or bug fixes. Regular communication is essential, as you’ll need to report test results, discuss defects, and coordinate on test coverage or continuous integration setup. This collaborative approach helps maintain high code quality and smooth releases.

What is the difference between Pytest vs Selenium Tester?

AspectPytestSelenium Tester
Primary FocusAutomated testing framework for Python codeWeb application testing using browser automation
Required SkillsPython programming, testing frameworksWeb technologies, Selenium WebDriver, scripting
Work EnvironmentSoftware development, QA teams, CI/CD pipelinesWeb testing, QA teams, browser environments
Common CertificationsPython certifications, testing certificationsSelenium certifications, QA certifications

Pytest is a Python testing framework used primarily for unit and integration testing of Python applications. Selenium Tester specializes in automating web browsers to test web applications. While both roles involve testing, Pytest focuses on code-level testing within Python projects, whereas Selenium Testers focus on browser-based testing of web interfaces. Understanding these differences helps teams assign the right tools and skills for their testing needs.

What are popular job titles related to Pytest jobs in Minnesota? For Pytest jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Pytest jobs in Minnesota look for? The top searched job categories for Pytest jobs in Minnesota are:
Pytest jobs near you
Infographic showing various Pytest job openings in Minnesota as of July 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 77% Physical, 9% Hybrid, and 14% Remote job distribution.

Data Scientist

System One Holdings, LLC

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago

Job description

Job Title: Data Scientist
Location: Minneapolis, MN
Job Summary:
System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models. In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our enterprise products and systems.
Responsibilities
  • Design, train, and validate traditional predictive and analytical machine learning models (regression, classification, decision trees, time-series, and neural networks).
  • Write scalable, production-grade Python code to wrap models into microservices and expose them via RESTful APIs for real-time inference.
  • Build and maintain automated data preprocessing, feature engineering, and model evaluation pipelines using CI/CD and MLOps best practices.
  • Track model performance, data drift, and latency in production, ensuring reliability and accuracy over time.
  • Collaborate directly with executive leadership, product directors, and enterprise architects to define the AI/ML product roadmap.
Requirements
  • 5-7+ years of progressive professional experience designing, shipping, and maintaining complex ML/AI solutions in enterprise production environments.
  • Experience building and deploying machine learning models in a production environment.
  • Strong practical experience with core ML algorithms (scikit-learn, XGBoost, LightGBM, statsmodels, PyTorch, or TensorFlow).
  • Demonstrated capability in writing clean, PEP 8-compliant, modular, and object-oriented Python code (beyond Jupyter notebooks).
  • Experience using automated testing frameworks (pytest, unittest) and writing unit/integration tests.
  • Hands-on experience developing RESTful APIs using frameworks like FastAPI or Flask.
  • Familiarity with containerization technologies (Docker) and version control workflows (Git, GitHub Actions, or GitLab CI/CD).
  • Advanced SQL proficiency and experience querying structured and unstructured datasets.
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field.
Preferred Qualifications:
  • Generative AI & Enterprise LLMs: Hands-on experience developing, fine-tuning (LoRA/QLoRA), or deploying proprietary Large Language Models (LLMs), agentic frameworks, custom embeddings, or enterprise RAG systems.
  • Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama).
  • Demonstrated leadership in mentoring teams and defining enterprise data and AI governance policies.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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