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Python Automation Testing Jobs in Colonia, NJ (NOW HIRING)

Web & Mobile Automation Test Engineer

New York, NY · On-site

$50.25 - $66.50/hr

Strong hands on experience with Appium for Android and iOS testing * Proficiency in Java Python or JavaScript for automation scripting * Experience with TestNG JUnit or PyTest * Good understanding of ...

Python Developer

New York, NY · On-site

$55 - $75.75/hr

... testing and delivering high-quality solutions. • Collaborate with cross-functional teams to ... automation scripts to enhance performance and reliability. • Work with DevOps teams to automate ...

Should be hands on): 1. Design and develop automation framework using Selenium, Cucumber and TestNG on Java/ python. 2. Should have good experience in BBD. 3. Would nice to have API Testing ...

Should be hands on): 1. Design and develop automation framework using Selenium, Cucumber and TestNG on Java/ python. 2. Should have good experience in BBD. 3. Would nice to have API Testing ...

Should be hands on): 1. Design and develop automation framework using Selenium, Cucumber and TestNG on Java/ python. 2. Should have good experience in BBD. 3. Would nice to have API Testing ...

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

Python Developer Location : Jersey city, NJ - 240229 Duration : 6+ months contract to hire The ... testing frameworks for automation and regression Strong knowledge of design patterns and their ...

Develop and execute testing protocols for automation and equipment changes. Ensure compliance with ... Proficient in Python and industrial communication protocols (e.g., OPC). Understanding of ...

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Python Automation Testing information

See Colonia, NJ salary details

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How much do python automation testing jobs pay per hour?

As of May 31, 2026, the average hourly pay for python automation testing in Colonia, NJ is $52.15, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $59.42 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 Colonia, NJ are hiring for Python Automation Testing jobs? Cities near Colonia, NJ with the most Python Automation Testing job openings:
Senior Principal - Databricks Platform Engineering Lead (Python)

Senior Principal - Databricks Platform Engineering Lead (Python)

JP Morgan Chase

Jersey City, NJ • On-site

$137.30K - $189.20K/yr

Full-time

Medical, Retirement

Posted 29 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Join JPMorgan Chase as a Senior Principal Software Engineer where you will own the Databricks platform architecture on AWS, build Terraform/Python automation, mentor teams, and drive high-impact data innovation.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
 

As a Senior Principal Software Engineer at JPMorganChase in Corporate - AIML Data Platforms and the Chief Data & Analytics team, you will bring your deep expertise in Databricks and large-scale data engineering. In this role you will drive the architecture, design, and implementation of advanced data solutions, leveraging Databricks and related technologies to enable business insights and innovation
 

Job Responsibilities

  • Leads the design, build, and troubleshooting of a scalable Databricks/Spark data platform and analytics workloads across cloud environments.
  • Develops and maintains secure, production-grade Python code; perform code reviews, debugging, and engineering quality improvements across the team.
  • Owns delivery of scalable data pipelines and analytics solutions on Databricks, applying strong distributed computing and performance troubleshooting practices.
  • Designs and develops infrastructure automation for the Databricks control plane, including workspace provisioning, account configuration, onboarding/offboarding, and Delta Sharing using Terraform, AWS, and Python Lambdas.
  • Develops secure, high-quality production code across Terraform modules, Python Lambda functions, and control plane services while reviewing and debugging code across the team.
  • Leads the architecture of scalable Databricks platform infrastructure, including workspace automation, AWS networking, and control plane APIs enabling self-service for downstream teams.
  • Define and implement best practices for data engineering, data lake architecture, and distributed computing
  • Solves the companies most challenging cloud data platform problems by building innovative technical solutions around Data Lake Tools.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • Mentor and guide technical teams, fostering a culture of continuous learning and excellence in software engineering practices

Required qualifications, capabilities, and skills 

  •  Formal training or certification on software engineering concepts and 10+ years applied experience
  • Expert-level proficiency in Databricks platform administration, AWS networking, and infrastructure-as-code with Terraform
  • Hands-on experience with Python application program development with use of automated unit testing
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Hands-on practical experience with terraform development and understanding of terraform enterprise
  • Hands-on experience with GitHub / Bitbucket code versioning tool, Jenkins build tool and pypi / maven artifactory integrations
  • Experience in managing product release lifecycle at enterprise level.

Preferred qualifications, capabilities, and skills 

  •  Strong knowledge of distributed compute frameworks like Spark and how platform-level configurations impact workload performance and reliability
  • Experience with Agile development processes, as needed (SCRUM/KANBAN) using JIRA.
  • Experience in Data pipelines using Spark
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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