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Python Automation Testing Jobs in North Tonawanda, NY

Expert-level proficiency in C and C++; strong scripting skills in Python or Bash for testing and automation. * OS Expertise: Deep experience developing within Embedded Linux environments (including ...

In this role, you will help develop and maintain applications that support automation, internal ... Strong programming fundamentals (Python preferred). * Understanding of object-oriented programming ...

Expert-level proficiency in C and C++; strong scripting skills in Python or Bash for testing and automation. * OS Expertise: Deep experience developing within Embedded Linux environments (including ...

In this role, you will help develop and maintain applications that support automation, internal ... Strong programming fundamentals (Python preferred). * Understanding of object-oriented programming ...

You will monitor HVAC automation systems, analyze performance data to reduce energy waste, and ... Experience with MATLAB, SQL and Python. * Advanced computer skills and proficiency in MS Office ...

... SQL, Python, scripting and/or automation to test multiple/complex user stories. Applies ... acceptance testing for data products Basic knowledge of data management Knowledge of data ...

Develop and execute formal verification testing, analyze results, and drive resolution of issues ... LabVIEW, Python, C/C++ and/or Simulink * Strong analytical and troubleshooting skills * Ability to ...

Develop and execute formal verification testing, analyze results, and drive resolution of issues ... LabVIEW, Python, C/C++ and/or Simulink* Strong analytical and troubleshooting skills* Ability to ...

... SQL, Python, scripting and/or automation to test multiple/complex user stories. Applies ... acceptance testing for data products Basic knowledge of data management Knowledge of data ...

... SQL, Python, scripting and/or automation to test multiple/complex user stories. Applies ... acceptance testing for data products Basic knowledge of data management Knowledge of data ...

Develop and execute formal verification testing, analyze results, and drive resolution of issues ... LabVIEW, Python, C/C++ and/or Simulink * Strong analytical and troubleshooting skills * Ability to ...

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Python Automation Testing information

See North Tonawanda, NY salary details

$10

$47

$70

How much do python automation testing jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for python automation testing in North Tonawanda, NY is $47.86, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $54.52 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 job categories do people searching Python Automation Testing jobs in North Tonawanda, NY look for?

The top searched job categories for Python Automation Testing jobs in North Tonawanda, NY are:

What cities near North Tonawanda, NY are hiring for Python Automation Testing jobs?

Cities near North Tonawanda, NY with the most Python Automation Testing job openings:

Infographic showing various Python Automation Testing job openings in North Tonawanda, NY as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $99,559 per year, or $47.9 per hour.

Model Risk Analyst - Validation [Multiple Positions Available]

M&T Bank

Buffalo, NY • On-site

$119K/yr

Full-time

Posted 12 days ago


M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

79th of 171 rated banks


Job description

Title: Model Risk Analyst - Validation [Multiple Positions Available]
Job Location: 345 Main St, Buffalo, NY 14203. Position requires in-office work four (4) days every week.
Job Description: Perform independent validation review of complex financial statistical models with primary focus on Treasury models (including interest rates sensitive, interest rates and currency derivatives models), as well as Fair Lending and general Credit Risk models. Writing quality reports for management review. Preparing materials and leading Effective Challenge presentations of accomplished validations. Supporting MRM model life cycle in relations to reviewing and reporting of IRA, MCA, MCM, MRT. Establishing communication with model owners, model developers, model stakeholders in support of successful model validation process and MRM initiatives. Supporting development of playbook for Validation of Fair Lending Models. Coordinate the engagement of third parties to perform validation. Review the results of third party validation. Perform validation and analysis of expert judgment or qualitative factors that augment quantitative models. Review to confirm proper controls and adequate documentation are in place. Recommend, as necessary, the cessation of reliance on models that are outdated or inaccurate, as determined by analysis. Prepare reporting for Management to monitor performance of models. Participate in meetings with model owners to discuss current portfolio tracking and business observations. Develop knowledge on standard concepts, practices, and procedures within the model validation/risk analytics field. Mine data from a variety of sources. Utilize technical skills to manage data and efficiently conduct analyses. Develop ad hoc processes to address efficiency gains that translate into repeatable procedures. Prepare written summary and analysis of all validation work, using a combination of word processing and presentation software skills. Adhere to applicable compliance/operational risk controls in accordance with Company or regulatory standards and policies. Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
Minimum requirements: Master's degree (or foreign equivalent) in Financial Mathematics, Mathematics, Statistics, Computer Science, Operation Research, Econometrics, or a related technical field plus three (3) years of experience in the job offered or as a Model Risk Analyst, Quantitative Model Developer, Quantitative Financial Analyst, Statistician, Data Scientist, or Model Validator. The employer will alternatively accept a Bachelor's degree (or foreign equivalent) in Financial Mathematics, Mathematics, Statistics, Computer Science, Operation Research, Econometrics, or related technical field plus six (6) years of experience in the job offered or as Quantitative Model Developer, Quantitative Financial Analyst, Statistician, Data Scientist, or Model Validator.
Requires three (3) years of experience in each of the following:
• Statistical modeling techniques including regression (including linear, logistic, Poisson, lasso, and ridge), machine learning (including tree and XGBoost), and cluster analysis.
• Programming skills in Python or SAS.
• Work with supervised models (including regressions, boosting, and ensemble learning) and unsupervised algorithms (including clustering and DBSCAN) applied to quantitative risk modeling and data-driven analysis.
• Statistical theory, including sampling methods, confidence intervals, and hypothesis testing for evaluating model assumptions and performance.
• Programming languages including Python or SAS for statistical modeling, machine learning development, implementation, future engineering and model performance evaluation.
• Writing reproducible code.
• Data wrangling, automation, and generating analytical reports.
• Leveraging SQL and other query languages to query, transform, and preprocess structured and unstructured data for analytical and modeling purposes.
• Working with data mining and feature engineering techniques.
Salary: $119,766.00 - $119,766.00 per year
Location
Buffalo, New York, United States of America

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