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

ARi

Project Engineer - Mechanical

East Peoria, IL

... Testing & Validation, Automation & Robotics, and Digital Transformation. We work with 3 of the top ... Use Creo, AutoCAD, SolidWorks, Python, Abaqus. Primary worksite is East Peoria IL but relocation ...

State Farm

Lead GenAI Engineer (LLM)

Bloomington, IL · Hybrid

$97K - $128K/yr

Strong foundation in software engineering: design, development, testing, and deployment of ... Proficiency in Python and/or TypeScript for API and AI integration development * Familiarity with ...

State Farm

Lead GenAI Engineer (LLM)

Bloomington, IL · On-site

$97K - $128K/yr

Strong foundation in software engineering: design, development, testing, and deployment of ... Proficiency in Python and/or TypeScript for API and AI integration development * Familiarity with ...

All JobsPython Automation Testing JobsPython Automation Testing Jobs in Normal, IL

Python Automation Testing information

See Normal, IL salary details

$10

$50

$73

How much do python automation testing jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for python automation testing in Normal, IL is $50.13, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $57.12 per hour, depending on experience, location, and employer.

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 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 job categories do people searching Python Automation Testing jobs in Normal, IL look for? The top searched job categories for Python Automation Testing jobs in Normal, IL are:
What cities near Normal, IL are hiring for Python Automation Testing jobs? Cities near Normal, IL with the most Python Automation Testing job openings:
Python Automation Testing jobs near you
Infographic showing various Python Automation Testing job openings in Normal, IL as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $104,273 per year, or $50.1 per hour.

MDM ETL Application Testing

Expert Technology Services

Bloomington, IL • On-site

Contractor

Posted 4 days ago

Job description

Job Summary for MDM ETL Application Testing
- Define and implement effective test data strategies for MDM ETL applications.
- Lead the testing of ETL pipelines in data marts and data warehouses.
- Identify and ensure comprehensive coverage of data validation scenarios, including migration, transformation, and integration.
- Design, develop, and optimize tests to validate ETL workflows.
- Validate data governance and data quality rules, including golden record creation.
- Write and review advanced SQL queries for data validation based on business rules and transformation logic.
- Collaborate with business analysts, QA, and development teams to understand data requirements and ensure adequate test coverage.
- Automate test data generation and provisioning processes.
- Utilize strong experience in MDM Testing, ETL Testing, and advanced SQL.
- Apply understanding of data modeling, relational databases, and data warehousing concepts.
- Conduct data quality checks and troubleshoot data issues.
- Use Python for automation and data processing tasks.
- (Secondary) Work within Agile/Scrum methodologies.
- (Secondary) Exposure to cloud-based data platforms such as Azure Data Factory.
- (Mandatory) Experience with Informatica MDM Administration, INFORMATICA-MDM, and core MDM concepts.