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Python Jobs in Miami, FL (NOW HIRING)

Verition Group LLC

PM Engagement Analyst

Miami, FL · On-site

The ideal candidate will have a strong analytical mindset, foundational technical skills in Python and SQL, familiarity with factor models and equity investing, and a desire to work closely with ...

Verition Group LLC

PM Engagement Analyst

Miami, FL

The ideal candidate will have a strong analytical mindset, foundational technical skills in Python and SQL, familiarity with factor models and equity investing, and a desire to work closely with ...

Mercor

Senior Full Stack Developer

Miami, FL · Remote

$80 - $130/hr

Design, develop, and maintain full-stack applications using Python . * Build and integrate APIs and MCP-based systems . * Collaborate closely with engineering and product teams to enhance system ...

Stem Xpert

Software Engineer

Sunrise, FL

Strong fundamentals with one or more of C, C++, Objective-C Strong experience with object oriented programming At least 1-2 years of experience with Python Full-solution design experience Experience ...

Ryder System, Inc.

Network Security Engineer IV

Miami, FL · On-site

$99K - $136K/yr

Solid coding and scripting required Java, C, C++, Python, Powershell intermediate required. * Security technologies including encryption, data protection, access privileges intermediate required.

Ryder

Network Security Engineer IV

Miami, FL · On-site

$99K - $136K/yr

Solid coding and scripting required Java, C, C++, Python, Powershell intermediate required. * Security technologies including encryption, data protection, access privileges intermediate required.

Unicon Pharma Inc.

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

... Python certifications. 5. Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.) 6. Proficiency in programming ...

Futran Tech Solutions Pvt. Ltd.

DevOps Engineer

Miami, FL · On-site

$50.50 - $69/hr

Experience with Python for scripting, automation, or tooling Strongly Preferred Skills * Experience working with SQL Server * Strong understanding of Windows environments * Experience with Ubuntu

Lennar

Lead Data Engineer

Miami, FL · On-site +1

$98K - $129K/yr

Modern Python Development: Develop, maintain, and containerize modular data applications and utility scripts using Python, leveraging modern cloud infrastructure. * Scale and Improve Infrastructure:

Lennar Homes

Lead Data Engineer

Miami, FL · On-site

$98K - $129K/yr

Modern Python Development: Develop, maintain, and containerize modular data applications and utility scripts using Python, leveraging modern cloud infrastructure. Scale and Improve Infrastructure:

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Modern Python Development: Develop, maintain, and containerize modular data applications and utility scripts using Python, leveraging modern cloud infrastructure. * Scale and Improve Infrastructure:

Millennium

DevOps Engineer

Miami, FL · On-site

$50.25 - $69/hr

... Python (Python, Java, Go, etc.) • Proficient in GitOps workflows and CI tools like GitHub Actions • Good experience running DevOps tools in the cloud (AWS preferred, GCP) • A mastery of ...

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How much do python jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for python in Miami, FL is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and data science. Skills in frameworks like Django or Flask, along with knowledge of data analysis tools like Pandas and NumPy, enhance job prospects. Certifications and experience with cloud platforms can also improve employability.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in web development, data analysis, machine learning, and automation. Employers seek candidates with strong programming skills, experience with frameworks like Django or Flask, and knowledge of related tools such as Git and cloud platforms. The demand is expected to grow as Python remains a key language for emerging technologies.

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 careers can you do with Python?

Python is a versatile programming language used in various careers such as software development, data analysis, machine learning, web development, automation, and cybersecurity. Professionals often work as developers, data scientists, machine learning engineers, or DevOps specialists, utilizing tools like frameworks, libraries, and cloud platforms. Strong problem-solving skills and knowledge of related technologies enhance job prospects in these fields.

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 jobs in the US pay 300,000 a year?

In the US, senior software engineers, data scientists, and machine learning engineers with extensive experience and advanced skills can earn salaries of $300,000 or more annually. Executive roles such as CTOs and senior management in tech companies also often reach or exceed this compensation level, especially with bonuses and stock options.

What are the key skills and qualifications needed to thrive as a Python Developer, and why are they important?

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.

More about Python jobs
What are the most commonly searched types of Python jobs in Miami, FL? The most popular types of Python jobs in Miami, FL are:
What are popular job titles related to Python jobs in Miami, FL? For Python jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Python jobs in Miami, FL look for? The top searched job categories for Python jobs in Miami, FL are:
What cities near Miami, FL are hiring for Python jobs? Cities near Miami, FL with the most Python job openings:
Python jobs near you
Infographic showing various Python job openings in Miami, FL as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $116,434 per year, or $56 per hour.
PM Engagement Analyst

PM Engagement Analyst

Verition Group LLC

Miami, FL • On-site

Full-time

Re-posted 19 days ago

Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
We are seeking a highly motivated PM Engagement Analyst to support the senior PM Engagement team in their work with Portfolio Managers and analysts within our Long/Short Equity business at a leading multi-strategy hedge fund. This role sits at the intersection of investing, data, analytics, and technology, helping teams leverage data, factor analytics, and internal tools to improve research workflows and investment decision-making. The ideal candidate will have a strong analytical mindset, foundational technical skills in Python and SQL, familiarity with factor models and equity investing, and a desire to work closely with front-office investment professionals in a fast-paced environment.
Key Responsibilities
  • Partner directly with senior members of the L/S engagement team to support data-driven workflows analyzing L/S PM performance and trading behavior.
  • Support engagement team on ad hoc analysis, portfolio diagnostics, and research tooling.
  • Work with factor models and portfolio analytics frameworks to help investment teams better understand exposures, risk, and performance drivers.
  • Analyze portfolio positioning, style exposures, and alpha signals across L/S Equity strategies.
  • Support workflows related to risk decomposition, factor attribution, and portfolio construction.
  • Use Python and SQL to analyze large datasets, automate workflows, and build lightweight analytical tools.
  • Help improve internal data workflows and reporting processes for investment teams.
  • Work closely with data teams and quant researchers, to identify gaps in workflows and improve the investment process.
  • Contribute to the rollout and adoption of internal analytics and research tools.

Required Qualifications
  • 2-4 years of experience within financial services, ideally supporting investment teams, research workflows, data analysis, or portfolio analytics.
  • Foundational proficiency in Python and SQL
  • Comfortable working with large datasets and performing data analysis
  • Understanding of fundamental Long/Short Equity investing
  • Familiarity with factor models, portfolio analytics, and risk concepts
  • Strong judgment and intellectual curiosity
  • Ability to not just produce analysis but also present it in a clear and engaging manner

Desirable Skills
  • Experience with portfolio/risk platforms such as Barra, Axioma, FactSet, Bloomberg, or similar tools.
  • Exposure to alternative data workflows and equity research processes.
  • Familiarity with visualization and analytics tools (Plotly, Streamlit, Dash).
  • Interest in AI-driven research workflows and modern data tooling.

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