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Pytest Python Selenium Jobs in Lombard, IL (NOW HIRING)

Expertise in test automation using Java, Python, PyTest, JUnit, TestNG, Selenium, REST Assured, or similar frameworks.Experience building automated testing frameworks for API, integration, regression ...

Pytest Python Selenium information

See Lombard, IL salary details

$22.6K

$137.7K

$199.3K

How much do pytest python selenium jobs pay per year?

As of Sep 9, 2026, the average yearly pay for pytest python selenium in Lombard, IL is $137,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $161,900.00 per year, depending on experience, location, and employer.

What are Pytest, Python, and Selenium?

Pytest is a popular testing framework for Python that makes it easy to write simple and scalable test cases. Python is a versatile, high-level programming language widely used for automation, web development, data analysis, and testing. Selenium is an open-source tool used for automating web browsers, enabling developers to write scripts in Python (or other languages) to simulate user interactions and verify web application behavior. Together, Pytest, Python, and Selenium are commonly used for automated testing of web applications to ensure they function as expected.

What are the key skills and qualifications needed to thrive as a Python Selenium automation tester using Pytest?

To thrive as a Python Selenium Automation Tester, you need strong programming skills in Python, experience with Selenium for browser automation, and knowledge of automated testing frameworks like Pytest. Familiarity with version control systems (such as Git), CI/CD tools (like Jenkins), and test management platforms is typically required, along with relevant certifications such as ISTQB. Attention to detail, analytical thinking, and effective communication are essential soft skills that set top testers apart. These skills ensure robust test coverage, efficient bug identification, and seamless collaboration within development teams, leading to higher software quality.

What are some common challenges faced by Pytest Python Selenium automation engineers when maintaining test suites over time?

Automation engineers using Pytest, Python, and Selenium often encounter challenges like test flakiness due to dynamic web elements, frequent UI changes that require updates to selectors, and managing dependencies between tests. As projects grow, maintaining clear test structure and ensuring tests remain reliable and independent is crucial. Engineers frequently collaborate with developers and QA teams to prioritize test coverage and quickly address issues that arise from application changes.

What is the difference between Pytest Python Selenium vs QA Tester?

AspectPytest Python SeleniumQA Tester
Primary FocusAutomated testing of web applications using PythonManual and automated testing to ensure software quality
Skills RequiredPython programming, Selenium WebDriver, test automationTesting methodologies, scripting, defect tracking
Work EnvironmentDevelopment teams, test automation frameworksQuality assurance teams, software development lifecycle
CertificationsNone mandatory, but Python or automation certifications helpfulISTQB, CSTE, or similar testing certifications

Pytest Python Selenium specialists focus on creating automated test scripts for web applications using Python, while QA Testers perform both manual and automated testing to identify defects. Both roles are essential in software quality assurance but differ in technical depth and scope.

What are popular job titles related to Pytest Python Selenium jobs in Lombard, IL?

For Pytest Python Selenium jobs in Lombard, IL, the most frequently searched job titles are:

Predoctoral Appointee - Python Developer

Lemont, IL โ€ข On-site

Argonne National Laboratory
Scientific Research and Development Servicesย โ€ขย 1 - 5K employees

$50.75 - $69.75/hr

Full-time

Posted 24 days ago


Key responsibilities

  • Designing, developing, testing, and maintaining Python-based software applications and utilities.

  • Developing software components that support data ingestion, transformation, storage, retrieval, and application integration.

  • Supporting software design, coding, testing, debugging, documentation, deployment, and ongoing maintenance of software systems and workflows.


Job description

Argonne National Laboratory in the Vehicle and Mobility Systems department (VMS) is seeking a full-time Predoctoral Appointee to support the development, enhancement, and maintenance of Python-based software applications, AI-enabled tools and research computing tools. This position focuses on software engineering and application development to support scientific and technical workflows, including desktop applications, web applications, automation, testing, data interfaces, and database-connected tools.
The successful candidate will contribute to the design, implementation, testing, and support of maintainable, scalable, and user-oriented software solutions that support research activities and operational needs. The role may also involve applying AI and machine learning techniques to analyze data, improve workflows, develop predictive or adaptive capabilities, and enhance the functionality of research software tools. The position requires strong programming skills, sound software development practices, and the ability to work effectively with multidisciplinary teams.
The Predoctoral Appointee will contribute to the development of Python-based software frameworks, applications, and utilities used in support of scientific and engineering projects. The role includes software design, coding, testing, debugging, documentation, deployment support, and ongoing maintenance of software systems and workflows.
Key Responsibilities:
  • Designing, developing, testing, and maintaining Python-based software applications and utilities.
  • Developing software components that support data ingestion, transformation, storage, retrieval, and application integration.
  • Applying machine learning frameworks and tools, including TensorFlow and PyTorch
  • Leveraging large language models such as Claude, ChatGPT, and related AI assistants to support software development, data analysis, automation, and intelligent research applications.
  • Interfacing software applications with databases and structured data sources, including MongoDB, SQLite, relational databases, XML, and JSON-based systems.
  • Writing and maintaining SQL queries and supporting database-driven application functionality.
  • Developing automation tools and scripts to improve workflow efficiency, reliability, and reproducibility.
  • Supporting web scraping and browser automation workflows using Python, Selenium, and related tools.
  • Performing unit testing, functional testing, debugging, troubleshooting, and code validation using tools such as pytest, unittest/pyunit, or similar testing frameworks.
  • Developing plotting and visualization components using libraries such as Matplotlib.
  • Supporting technical workflows that may also involve MATLAB for scripting, prototyping, or interoperability with research tools.
  • Participating in software configuration management and collaborative development using tools such as Git, SVN, and JIRA.
  • Supporting software usability, maintainability, and long-term sustainability in a research and development environment.

Position Requirements
  • Recent or soon-to-be completed master's degree in computer science, software engineering, computer engineering, information systems, applied mathematics, engineering, or a related technical field.
  • Experience with Python software development.
  • Experience using Python libraries and frameworks such as NumPy, Pandas, and Matplotlib.
  • Experience interfacing software with databases and structured data systems, including MongoDB, SQLite, relational databases, XML, and JSON.
  • Experience writing and maintaining SQL queries.
  • Experience with web scraping, browser automation, or web interaction tools such as Selenium.
  • Experience with software testing using pytest, unittest/pyunit, or similar testing frameworks.
  • Experience with Python desktop and web development frameworks such as Tkinter, Django, Flask is a bonus
  • Strong written and verbal communication skills.
  • Strong problem-solving skills, attention to detail, and organizational skills.
  • Ability to work independently and collaboratively in a team research environment.
  • Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
  • This position requires an on-site presence at the Argonne campus in Lemont, Illinois.

Preferred Qualifications:
  • Experience building and maintaining software applications in a scientific, engineering, research, or technical environment.
  • Familiarity with software development life cycle practices, including source control, code review, testing, deployment, and documentation.
  • Experience with software architecture, modular design, and reusable code development.
  • Experience with scripting and workflow automation.
  • Familiarity with API integration, web services, or system interoperability.
  • Experience with packaging and distributing Python applications.
  • Familiarity with user interface design and usability considerations for desktop or web applications.
  • Background in science, engineering, transportation, energy systems, economics, or a related applied domain.

Job Family
Temporary
Job Profile
Predoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The expected hiring range for this position is $58,297.00-$97,161.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.