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Python Jobs in West Palm Beach, FL (NOW HIRING)

Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an Agile Scrum team, collaborating across design, development, and testing * Supporting the development of ...

Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an Agile Scrum team, collaborating across design, development, and testing * Supporting the development of ...

Lead QA Engineer

Delray Beach, FL · On-site

$55 - $60/hr

Strong test automation experience (Selenium, Karate, Gatling) Familiarity with SnapLogic, Control-M job testing CI/CD, Jenkins, JIRA expertise Python, SQL, and AWS (logs/system health) knowledge ...

Python Expertise: Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, statsmodels) * Time-Series Forecasting: Proven track record ...

Senior Specialist, System Analysis

Jupiter, FL · On-site

$97K - $133K/yr

... Python, C/C++, SysML, and FORTRAN. Duties may include evaluation of ground test and flight data to determine engine health and conformance to performance requirements. * 40% - Duties will include ...

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Python information

See West Palm Beach, FL salary details

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How much do python jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for python in West Palm Beach, FL is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $64.42 per hour, depending on experience, location, and employer.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What are the key skills and qualifications needed to thrive as a Python developer?

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

What are the most commonly searched types of Python jobs in West Palm Beach, FL? The most popular types of Python jobs in West Palm Beach, FL are:
What are popular job titles related to Python jobs in West Palm Beach, FL? For Python jobs in West Palm Beach, FL, the most frequently searched job titles are:
What job categories do people searching Python jobs in West Palm Beach, FL look for? The top searched job categories for Python jobs in West Palm Beach, FL are:
What cities near West Palm Beach, FL are hiring for Python jobs? Cities near West Palm Beach, FL with the most Python job openings:
Infographic showing various Python job openings in West Palm Beach, FL as of August 2026, with employment types broken down into 2% Internship, 85% Full Time, 6% Part Time, and 7% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $117,939 per year, or $56.7 per hour.

Senior Fleet Performance Analyst

NextEra Energy

Juno Beach, FL • On-site

$88K - $116K/yr

Full-time

Posted 18 days ago


NextEra Energy rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

23rd of 53 rated energy and utility


Job description

Requisition ID:  96081 

NextEra Analytics offers energy consulting services using industry-leading scientific analysis for planning, siting, forecasting and optimizing all forms of energy projects. Our optimization and analytics platforms integrate open-source technologies to leverage massive, diverse sets of utility operating data. This enables rapid development of operational solutions. Applying expertise in advanced mathematics, data and physical sciences, we solve some of the hardest problems facing the energy industry.
 

Position Specific Description

  • Lead operational assessments for wind, solar, and battery storage assets by leveraging advanced analytics to integrate SCADA, historian, and market data; develop automated data pipelines and visualization dashboards that translate complex datasets into actionable operational insights.
  • Develop and maintain production forecasting models used for financial analysis and budget planning through statistical modeling and scripting in Python, R, and SQL; ensure transparency, reproducibility, and auditability through version-controlled repositories and documented data lineage.
  • Perform asset performance diagnostics using machine learning and time-series analysis techniques; support root cause investigations by mining multi-dimensional operational datasets to identify and resolve chronic underperformance issues.
  • Design and enhance predictive analytics models and algorithmic forecasting tools to identify and mitigate production variances, including implementation of automated bias detection, statistical validation testing, and correction methodologies.
  • Own month-end operational performance reporting by engineering ETL workflows, coordinating cross-functional data inputs, and maintaining data integrity through automated validation scripts and reconciliation processes.
  • Manage end-to-end analytics deliverables supporting operational assessments, budget development, generation and economic entitlement (GenE) analysis, and fleet-level reporting through scalable analytics frameworks and automated workflows.
  • Deliver data-driven insights, risk assessments, and operational recommendations to leadership and risk committees using interactive dashboards, statistical visualizations, and quantitative tradeoff analysis to support strategic decision-making.
  • Establish and promote best practices for analytics development, data governance, and quality assurance standards; mentor team members in Python, R, SQL, version control, and advanced analytics methodologies while strengthening organizational technical capabilities.

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