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Python Automation Testing Jobs in Altoona, PA (NOW HIRING)

Enterprise Data Engineer

Huntingdon, PA

$102K - $122.50K/yr

As a Test Automation Specialist, build automated test frameworks and develop test harnesses for ... Azure), including tools such as Databricks, Azure Data Factory, Spark, Python, and SQL (Power BI ...

Enterprise Data Engineer

Huntingdon, PA

$102K - $122.50K/yr

As a Test Automation Specialist, build automated test frameworks and develop test harnesses for ... Azure), including tools such as Databricks, Azure Data Factory, Spark, Python, and SQL (Power BI ...

Enterprise Data Engineer

Huntingdon, PA · On-site

$102K - $122.50K/yr

As a Test Automation Specialist, responsible for building new automated test frameworks, for ... Previous experience in data engineering ideally using Databricks, Azure Data Factory, Spark, Python ...

Python Automation Testing information

See Altoona, PA salary details

$10

$50

$74

How much do python automation testing jobs pay per hour?

As of May 30, 2026, the average hourly pay for python automation testing in Altoona, PA is $50.47, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $57.50 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in Python Automation Testing is maintaining test scripts as applications evolve, which can lead to flaky tests or outdated scripts.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 cities near Altoona, PA are hiring for Python Automation Testing jobs? Cities near Altoona, PA with the most Python Automation Testing job openings:

Enterprise Data Engineer

Awg

Huntingdon, PA

$102K - $122.50K/yr

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Job description

Circa 45k, salary dependant on skills and experience

Base location in either Lincoln or Huntingdon (depending on your location) and home working (expectation is 2 days in the office)

Permanent

Full time, 37 hours per week

Do you have prior experience ofmodern data engineering, including data modelling?

Do you have experience of working within an Agile environment, or are keen to work in one?

Do you like to always explore, learn, challenge yourself, and are a good team player?

If you can answer yes to the above, we have an exciting opportunity for you with our expanding team!

The data service will go beyond the traditional data warehouse to provide a modern business intelligence capability that enables governed self-service analytics on trusted, well-engineered data products. This allows business SMEs and data and analytics specialists to work hand in hand to deliver insight that drives business performance, alongside emerging real-time and operational data capabilities.

What will my role involve?

The Data Engineer is a T-shaped professional (also referred to as a generalised specialist) with identifiable core skills, yet with the ability to work across multiple disciplines (both technical and non-technical) as required.

The Enterprise Data Engineer, whilst having core skills to deliver data and analytical solutions on our analytics and big data platform, will also act as a technical expert across data platform delivery, including batch data pipelines.

You will be expected to work in an Agile/Scrum environment, in a squad model consisting of various other developers. You may be expected to work as a lead within the squad and/or fulfil other roles as required.

The Enterprise Data Engineer will have the core skills to carry out the following activities:

  • Actively contribute to work estimation

  • Adopt and embed agile development and continuous improvement into team ways of working

  • Support the onboarding of new team members and coach other Data Engineers

  • Actively contribute to drafting and updating our service policies, procedures, work instructions, and guidance notes

  • As a Data Solution Designer/Modeller, design robust, secure, and supportable corporate data solutions to meet business requirements, following appropriate data modelling approaches

  • As a Data Engineer, develop, test, and/or quality assure data pipelines from corporate systems into the Data Lake

  • As a Semantic Layer Developer, develop, test, and/or quality assure semantic models (where required to support downstream analytics and reporting)

  • Where required, develop, test, and/or quality assure reports and dashboards

  • As a Test Automation Specialist, build automated test frameworks and develop test harnesses for each component. You will be responsible for increasing overall test coverage and ensure a culture of automated testing is embraced

What does it take to be an Enterprise Data Engineer?

  • Previous strong experience in data engineering using cloud platforms (e.g. Azure), including tools such as Databricks, Azure Data Factory, Spark, Python, and SQL (Power BI beneficial but not essential)

  • Strong data engineering experience of at least 3-5 years

  • Experience in data modelling (e.g. dimensional and/or lakehouse patterns)

  • Experience delivering end-to-end data solutions from requirements through to production deployment

  • Experience of working within an Agile/Scrum environment

  • Experience/understanding of product lifecycle management

  • Knowledge of Azure DevOps or similar tools

As a valued employee, you'll be entitled to:

  • Personal private health care

  • 26 days annual leave - rising with length of service

  • Flexible working

  • Pension scheme - Anglian Water double-matches your contributions up to 7%

  • Bonus scheme

  • Flexible benefits to support your wellbeing and lifestyle.

Why Anglian Water?

Anglian Water is not your typical water company. What we do really matters. Water is the lifeblood of our world, and we're proud of the difference we make. We put people at the heart of our business and we truly love what we do! If you're passionate about what you do and would like to make a difference, then we'd love to hear from you.

Inclusion at Anglian Water: Join us and make a difference. Our customers come from a wide range of backgrounds, and we think our workplace should reflect that. We are committed to making sure all our colleagues feel they belong and are supported to succeed. Together with our fellow water companies, we are committed to the Social Mobility Pledge; we are also a signatory to Business in the Community's Race at Work charter; we hold the Armed Forces Gold Covenant for Employers; we are an accredited Disability Confident employer, and we play a leading part in the Women's Utility Network.

Closing Date:7th June 2026

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