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Python Automation Testing Jobs in Alabama (NOW HIRING)

Ability to interpret and write simple logic or scripts (JavaScript, Python, VB.NET, SQL, etc ... Familiarity with SDLC, testing methods, and change management * Strong analytical thinking and ...

Ability to interpret and write simple logic or scripts (JavaScript, Python, VB.NET, SQL, etc ... Familiarity with SDLC, testing methods, and change management * Strong analytical thinking and ...

Ability to interpret and write simple logic or scripts (JavaScript, Python, VB.NET, SQL, etc ... Familiarity with SDLC, testing methods, and change management * Strong analytical thinking and ...

Automation Engineer

Huntsville, AL · On-site

$85 - $110/hr

... testing. * Integrate vision systems for component alignment, defect detection, and barcode/QR code ... Ladder Logic, Structured Text, and familiarity with Python, C++, or SQL for data handling. * Strong ...

Integrate automated testing, static/dynamic code analysis, security scanning, and RMF-aligned ... Familiarity with Linux administration, scripting (Python, Bash, PowerShell), and automation ...

With a focus on regulated, high-volume testing environments, Waters' innovative portfolio harnesses ... Proficiency with modern data analysis methods and tools (SQL, Python, Statistical Analysis packages)

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Python Automation Testing information

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$46

$68

How much do python automation testing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python automation testing in Alabama is $46.48, according to ZipRecruiter salary data. Most workers in this role earn between $40.10 and $52.93 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed for Python automation testing?

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 common challenges in Python automation testing, 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 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 Alabama?

For Python Automation Testing jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Python Automation Testing jobs in Alabama look for?

The top searched job categories for Python Automation Testing jobs in Alabama are:

What cities in Alabama are hiring for Python Automation Testing jobs?

Cities in Alabama with the most Python Automation Testing job openings:

Infographic showing various Python Automation Testing job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 4% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $96,672 per year, or $46.5 per hour.

QA Test Automation Lead - Data Warehouse & ETL

Huntington

Hoover, AL • Hybrid

Full-time

Medical, Life, Retirement, PTO

Re-posted 25 days ago


Job description

Description Summary Huntington Bank is seeking a hands-on QA Test Automation Lead to support Enterprise Data Warehouse and Data Lake initiatives. This role combines QA leadership, ETL testing, SQL-based data validation, and test automation. The ideal candidate has deep experience testing data pipelines and integrations, leading QA efforts, and driving process improvements through automation and innovation.

This is primarily a Data Warehouse QA role, not a traditional UAT, Salesforce, or application testing position. Candidates should demonstrate strong ETL testing, SQL, Snowflake, AWS, Python, and data validation experience, along with prior QA leadership and test automation experience. Key Responsibilities Lead QA activities across Data Warehouse and Data Lake projects.

Create test strategies, test plans, and testing status reporting. Coordinate testing efforts across QA resources and project teams. Execute and oversee ETL, data integration, system integration, regression, and UAT testing.

Perform source-to-target validation, data reconciliation, and data quality testing. Analyze and troubleshoot data issues using SQL. Validate data mappings, transformation logic, and business requirements.

Support and expand test automation solutions. Utilize Excel, including formulas, pivot tables, and macros, for data comparison and validation. Identify opportunities to streamline testing processes, documentation, and reporting.

Basic Qualifications Bachelor's degree or equivalent experience. 5+ years of ETL testing experience in a Data Warehouse or Data Lake environment. 5+ years of SQL experience.

2+ years of Snowflake experience. 2+ years of AWS experience. 2+ years of Python experience.

2+ years of QA Lead experience coordinating testing activities. 1+ year of hands-on test automation experience. Preferred Qualifications Experience with source-to-target validation, data reconciliation, and data quality testing.

Strong Excel skills, including formulas, pivot tables, and macros. Experience working in Agile teams. Banking or financial services experience.

Experience with DataStage, Informatica, AWS Glue, or similar ETL tools. Experience designing, implementing, or expanding automated testing frameworks. Experience establishing a test automation suite for a team or application.

Experience with PyTest, Selenium, DBT tests, or similar automation tools. Experience with Azure DevOps and CI/CD processes. Knowledge of data warehouse concepts, including star schemas, fact tables, dimension tables, and data lineage.

Demonstrated ability to improve processes, documentation, and team efficiency. #LI-MH1 #LI-BM1 #LI-Hybrid Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home.

Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan

In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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