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Python Automation Testing Jobs in Sunny Isles Beach, FL

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

Software Development and Automation • Utilize Python and SQL to develop efficient, production ... testing, and debugging. Collaboration and Leadership • Act as a technical leader, providing ...

ReturnPro

Data Engineer

Aventura, FL

$109K - $131K/yr

Software Development and Automation · Utilize Python and SQL to develop efficient, production ... testing, and debugging. Collaboration and Leadership · Act as a technical leader, providing ...

Lennar

Lead Data Engineer

Miami, FL · On-site +1

$98K - $129K/yr

Rigorous code reviews, end-to-end testing/QA methodologies, and resilient error-handling frameworks ... Python code for complex data manipulation, automation, and API communication. * AWS Platform ...

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Rigorous code reviews, end-to-end testing/QA methodologies, and resilient error-handling frameworks ... Python code for complex data manipulation, automation, and API communication. * AWS Platform ...

Univision

Software Engineer

Doral, FL · On-site

$108K/yr

Python developer familiar with open-source technologies, responsible for building software ... Identify automation opportunities within the media management space and develop maintainable ...

Univision

Software Engineer

Miami, FL

$108K/yr

Python developer familiar with open-source technologies, responsible for building software ... Identify automation opportunities within the media management space and develop maintainable ...

Accelya

Senior Principal Database Administrator

Miami, FL

$47.50 - $65.50/hr

Develop automation to improve operational efficiency using T-SQL, PowerShell, Python, and ... Participate in production support, maintenance activities, disaster recovery testing, and on-call ...

System One

Test Engineer

Weston, FL · On-site

$40 - $46.66/hr

... testing/management tools. • Knowledge of C++ and Python. • Demonstrated experience using ... JAMA, and test automation tools. • Programming skills in C++ and Python. • Excellent ...

Phiston Technologies, Inc.

Be Seen First

Senior Controls Engineer

Miramar, FL · On-site

$90K - $125K/yr

Conduct FAT/SAT testing and on-site commissioning to verify safety and performance compliance ... Strong command of Python, MATLAB, and SCADA/HMI development tools * Familiarity with RPA platforms ...

SmartIPlace

Autonomous test specialist

Miami, FL · On-site

$45 - $50/hr

You will own the creation of simulation scenarios, manage vehicle testing activities, and serve as ... Python, for automation and data analysis Strong organizational skills, with experience managing ...

duPont REGISTRY

DevOps Engineer

Miami, FL · On-site

$51 - $70/hr

Support backend teams by integrating Node.js, Golang and Python microservices into unified ... Chaos engineering or resilience testing practices.

duPont Registry

DevOps Engineer

Miami, FL · On-site

$51 - $70/hr

Support backend teams by integrating Node.js, Golang and Python microservices into unified ... Chaos engineering or resilience testing practices.

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All JobsPython Automation Testing JobsPython Automation Testing Jobs in Sunny Isles Beach, FL

Python Automation Testing information

See Sunny Isles Beach, FL salary details

$10

$49

$73

How much do python automation testing jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python automation testing in Sunny Isles Beach, FL is $49.61, according to ZipRecruiter salary data. Most workers in this role earn between $42.79 and $56.49 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 Sunny Isles Beach, FL look for? The top searched job categories for Python Automation Testing jobs in Sunny Isles Beach, FL are:
What cities near Sunny Isles Beach, FL are hiring for Python Automation Testing jobs? Cities near Sunny Isles Beach, FL with the most Python Automation Testing job openings:
Python Automation Testing jobs near you

Data Engineer

ReturnPro

Aventura, FL • On-site

$109K - $131K/yr

Full-time

Re-posted 28 days ago

Job description

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.
Primary Responsibilities/Essential Functions
This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.
Key Responsibilities
Data Architecture and Engineering
• Design and implement scalable data pipelines for data ingestion, transformation, and storage.
• Architect and optimize data lakes and data warehouses to support analytics and reporting needs.
• Develop robust ETL processes to integrate structured and unstructured data from diverse sources.
• Ensure high data quality through cleaning, validation, and transformation techniques.
Cloud and Big Data Solutions
• Lead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets.
• Develop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake.
• Manage data lakes to facilitate efficient data access and processing for downstream applications.
Database and Data Warehousing
• Design, implement, and manage relational (SQL) and non-relational (NoSQL) database systems.
• Lead database architecture efforts, including schema design, query optimization, and performance tuning.
• Oversee the design and management of data warehouses, ensuring reliability, scalability, and security.
Software Development and Automation
• Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations.
• Implement scripting automation using Bash and PowerShell to streamline workflows.
• Leverage version control (Git) and follow best practices in code optimization, unit testing, and debugging.
Collaboration and Leadership
• Act as a technical leader, providing guidance on best practices.
• Collaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives.
• Drive innovation by evaluating and integrating emerging tools, technologies, and frameworks.
• Establish and maintain CI/CD pipelines to ensure efficient deployment and system reliability.
Required:
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.
• Proficiency in Python, SQL, and scripting languages (Bash, PowerShell).
• Deep understanding of big data tools (Hadoop, Spark) and ETL processes.
• Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).
• Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.
• Experience designing and managing data warehouses for performance and scalability.
• Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.
Preferred
• Strong experience in software architecture, design patterns, and code optimization.
• Expertise in Python-based pipelines and ETL frameworks.
• Experience with Azure Data Services and Databricks.
• Excellent problem-solving, analytical, and communication skills.
• Experience working in agile environments and collaborating with diverse teams.

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