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Python Automation Testing Jobs in Aurora, IL (NOW HIRING)

Judge Group, Inc.

Test Engineer 2

Chicago, IL

$55 - $65/hr

Programming skills in C, C++, or Python for automation testing. * Experience with version control (Git, SVN) and CI tools (Azure DevOps). * Excellent problem-solving skills, attention to detail, and ...

IMC

Finance Automation Specialist

Chicago, IL · On-site

You'll be hands-on in configuring, testing, and deploying Workday Financials modules while ... Exposure to technical technologies like Python, SQL, BI platforms, ETL tools and AI tooling

TTC Global

Tosca Architects

Naperville, IL · On-site

Plan for different testing types: functional, non-functional, regression, automation, performance ... Java, Python, JavaScript, etc. * Tosca : Modules, Test Case Design, TDS, DEX, Tosca Commander ...

TTC Global

Tosca Architects

Naperville, IL · On-site +1

Plan for different testing types: functional, non-functional, regression, automation, performance ... Java, Python, JavaScript, etc. * Tosca : Modules, Test Case Design, TDS, DEX, Tosca Commander ...

IMC

Finance Automation Specialist

Chicago, IL · On-site

$115K - $155K/yr

You'll be hands-on in configuring, testing, and deploying Workday Financials modules while ... Exposure to technical technologies like Python, SQL, BI platforms, ETL tools and AI tooling

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How much do python automation testing jobs pay per hour?

As of May 31, 2026, the average hourly pay for python automation testing in Aurora, IL is $50.84, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $57.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Automation Testing professional, and why are they important?

To thrive as a Python Automation Testing professional, you need strong proficiency in Python programming, knowledge of software testing methodologies, and experience with test automation frameworks, often supported by a degree in computer science or a related field. Familiarity with tools such as Selenium, PyTest, Jenkins, and version control systems like Git is typically required, along with certifications like ISTQB being advantageous. Analytical thinking, attention to detail, and effective communication skills help testers identify issues, collaborate with teams, and document findings clearly. These competencies ensure the creation of reliable, maintainable automated tests that improve software quality and streamline development cycles.

What are some common challenges faced in a Python Automation Testing role, and how can they be addressed?

One common challenge in Python Automation Testing is maintaining test scripts as applications evolve, which can lead to flaky tests or outdated scripts. To address this, it's important to implement modular and reusable code, and regularly review and refactor test cases. Collaborating closely with developers and participating in code reviews can also help testers anticipate changes and adapt their tests proactively. Additionally, integrating robust reporting and logging mechanisms helps quickly identify and resolve issues, ensuring the reliability of the automated test suite.

What is Python Automation Testing?

Python Automation Testing refers to the process of using Python programming language to write scripts that automatically test software applications. These scripts can validate functionality, performance, and reliability of software, reducing the need for manual testing and speeding up the development cycle. Python is popular for automation testing because of its readability, extensive libraries like Selenium and PyTest, and strong community support. Automation tests can be integrated into continuous integration pipelines to ensure consistent quality across software releases.

What is the difference between Python Automation Testing vs Manual Software Testing?

AspectPython Automation TestingManual Software Testing
Required SkillsPython programming, automation tools, scriptingTest case execution, attention to detail, communication
Work EnvironmentAutomated testing frameworks, scripting environmentsTest labs, user environments, manual execution
Industry UsageSoftware development, QA teams, continuous integrationInitial testing phases, exploratory testing, user acceptance

Python Automation Testing involves writing scripts to automate test cases, increasing efficiency and repeatability. Manual Software Testing requires testers to execute test cases manually, focusing on exploratory and usability aspects. Both roles are essential in software quality assurance, but Python Automation Testing emphasizes automation skills, while manual testing emphasizes detailed test execution and observation.

What are popular job titles related to Python Automation Testing jobs in Aurora, IL? For Python Automation Testing jobs in Aurora, IL, the most frequently searched job titles are:
What job categories do people searching Python Automation Testing jobs in Aurora, IL look for? The top searched job categories for Python Automation Testing jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for Python Automation Testing jobs? Cities near Aurora, IL with the most Python Automation Testing job openings:
Python Automation Testing jobs near you
Infographic showing various Python Automation Testing job openings in Aurora, IL as of May 2026, with employment types broken down into 90% Full Time, 4% Part Time, 5% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $105,742 per year, or $50.8 per hour.
ACCELQ Automation QA Engineer

ACCELQ Automation QA Engineer

dotSolved

Naperville, IL

Other

Posted 10 days ago

Job description

Required Skills & Qualifications

  • Experience: 5+ years of overall experience in Software Quality Assurance and Test Automation.
  • ACCELQ Expertise: 2+ years of hands-on, dedicated experience with ACCELQ for both UI and API automation. Must be proficient in its codeless automation capabilities, natural language scripting, and Universe modeling.
  • API Knowledge: Strong understanding of RESTful APIs and experience testing them (using ACCELQ, Postman, or similar tools).
  • Database Skills: Proficiency in writing SQL queries to perform database validations and test data creation.
  • SDLC & Agile: Deep understanding of the Software Development Life Cycle (SDLC) and proven experience working in an Agile/Scrum environment.
  • Version Control: Experience with Git or similar version control systems.

Preferred Qualifications

  • Official ACCELQ Certification (e.g., ACCELQ Certified Automation Professional).
  • Background in foundational programming languages (Java, Python, or JavaScript), as understanding core coding logic deeply enhances scriptless automation design.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Experience with performance or load testing tools (JMeter, LoadRunner).

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