ZipRecruiter

Log In

1

Python Automation Testing Jobs in Lenexa, KS (NOW HIRING)

TERRACON

Application Administrator II

Olathe, KS · On-site

Python * Java * API testing tools (Postman, SoapUI, Insomnia, etc.) * Test automation concepts * Microsoft ASP.NET * Microsoft SharePoint * Microsoft Visual Studio and Team Foundation Server

TERRACON

Application Administrator II

Olathe, KS · On-site +1

Python * Java * API testing tools (Postman, SoapUI, Insomnia, etc.) * Test automation concepts * Microsoft ASP.NET * Microsoft SharePoint * Microsoft Visual Studio and Team Foundation Server

Dentons

Threat Analyst

Kansas City, MO · On-site

$86K - $111K/yr

The role involves monitoring and operationalizing threat intelligence, engineering automation and ... testing and ethical hacking. * Proficiency in scripting languages (Python, PowerShell, shell) is a ...

WellSky

Staff Software Engineer

Overland Park, KS · On-site

$2.5K/yr

... other testing frameworks. * LeverageAItools and platforms as an integral part of daily ... Experience in designing and developing Web-based applications using Python, Node JS, Graph QL ...

WellSky

Staff Software Engineer

Overland Park, KS · On-site

... other testing frameworks. * Leverage AI tools and platforms as an integral part of daily ... Experience in designing and developing Web-based applications using Python, Node JS, Graph QL ...

next page

Showing results 1-20

All JobsPython Automation Testing JobsPython Automation Testing Jobs in Lenexa, KS

Python Automation Testing information

See Lenexa, KS salary details

$10

$48

$70

How much do python automation testing jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python automation testing in Lenexa, KS is $48.13, according to ZipRecruiter salary data. Most workers in this role earn between $41.54 and $54.86 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 Lenexa, KS look for? The top searched job categories for Python Automation Testing jobs in Lenexa, KS are:
Python Automation Testing jobs near you
Senior Technical Product Manager - ETL Developer

Senior Technical Product Manager - ETL Developer

GE Aerospace

Overland Park, KS • On-site

$125K - $165K/yr

Full-time

Re-posted 13 days ago

GE Aerospace rating

8.9

Company rating: 8.9 out of 10

Based on 175 frontline employees who took The Breakroom Quiz

4th of 61 rated aerospace companies

Job description

Job Summary:
GE Aerospace is seeking a Senior Technical Product Manager - ETL Developer to lead Digital Technology projects and support the IT Insurance Operations function. The role involves partnering with stakeholders to design and deliver high-quality data solutions, overseeing data integration initiatives, and ensuring operational excellence across platforms.
Responsibilities:
• Partner with business stakeholders to engage at technical and business levels to gather requirements, define data solutions, prioritize enhancements, and provide outstanding customer-focused operational support.
• Provide solution ownership for data integration and platform initiatives, including design, development, implementation, and testing.
• Responsible for testing, quality assurance, and data validation activities, including facilitating user acceptance testing and resolving data quality issues.
• Lead process improvements and reengineering efforts related to data integration, data quality, and operational support, leveraging industry best practices.
• Design, develop, and maintain cloud-based ETL pipelines using Informatica Intelligent Data Management Cloud (IDMC).
• Responsible for production support of operational platforms and data pipelines, including incident resolution, root cause analysis, and continuous improvement.
• Build strong working relationships across IT, Operations, and external partners to influence outcomes and execute on business strategies.
• Provide leadership and guidance to multi-location and offshore development teams, ensuring high-quality delivery, adherence to standards, and effective collaboration.
Qualifications:
Required:
• Bachelor’s degree in computer science or related field.
• 5+ years of experience in Information Technology with at least 3 years focused on data engineering or data integration roles.
• Hands-on experience with Data Integration (ETL) Tools (IDMC), relational database modeling, SQL, end-user reporting, and cloud-based applications.
• Strong analytical, problem-solving, and communication skills.
• Demonstrated experience partnering with business users to support operational needs and strategic initiatives.
• Energetic and driven person with a passion for problem solving and providing outstanding client support.
Preferred:
• Experience with Life or LTC insurance/reinsurance business processes.
• Focused and flexible with ability to drive change and lead others to excel in a dynamic environment.
• Familiarity with cloud platforms and modern data architectures (data lakes, data warehouses, analytics platforms).
• Ability to translate complex technical concepts into clear communication tailored to a targeted audience.
• Experience using Python for data processing, automation, and integration.
• Working knowledge of R for data analysis or actuarial and statistical use cases.
Company:
GE Aerospace is a provider of jet and turboprop engines, as well as integrated systems. Founded in 1892, the company is headquartered in Cincinnati, USA, with a team of 10001+ employees. The company is currently Late Stage.

What GE Aerospace employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply