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Python Data Jobs in Florida (NOW HIRING)

Marencor

Python GenAI Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. * Minimum of 7 years of professional experience in Python development. * Strong expertise ...

Dexian

Python Developer with AI

Tampa, FL · Hybrid

$45.75 - $63/hr

Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing. Frontend Development (React, Angular, Vue.js). Relevant Cloud or Industry Certifications. Core Skills: * Python Development

Techvilla Solutions

Python Developer

Jacksonville, FL · On-site

$46.50 - $64.25/hr

Work with PostgreSQL databases for data storage and management. Required Skills * Strong proficiency in Core Python. * Experience with Flask, FastAPI, and GraphQL APIs. * Hands-on experience with ...

Noblesoft Solutions

Python Developer V

Jacksonville, FL · On-site

$46.50 - $64.25/hr

... and data processed or output by the application Qualifications Below is my specific requirements ... Must have demonstrated experience developing REST APIs using Python. Must have demonstrated ...

Noblesoft Solutions

Python Developer V

Jacksonville, FL · On-site

$46.50 - $64.25/hr

... data processed or output by the application Qualifications Below is my specific requirements : • Must have demonstrated experience developing REST APIs using Python. • Must have demonstrated ...

Modernizing Medicine

Senior Data Engineer

Boca Raton, FL

$100K - $136K/yr

Object-Oriented Python; * Data warehouse table design and star schemas; * Quality, architecture, and documentation; and * AWS cloud services (S3, Athena, EMR, and Kinesis). ModMed Benefits Highlight:

Arkhya Tech

Python Full Stack Developer

Miami, FL

Full Stack Developer (Python + React + Azure) Location: Miami, FL (Onsite) Experience 10+ Years ... The role involves designing and building scalable, data-intensive applications, integrating ...

Lennar

Principal Data Engineer

Miami, FL · Remote

Proficiency in SQL and Python * Data governance, security, and compliance concepts * Incremental and CDC ingestion methods; REST APIs Familiarity (At least 1+ years of experience) with:

New

Lennar Homes

Principal Data Engineer

Miami, FL · Remote

... Python Data governance, security, and compliance concepts Incremental and CDC ingestion methods; REST APIs Familiarity (At least 1+ years of experience) with: Orchestration and scheduling tools ...

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Python Data information

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How much do python data jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python data in Florida is $43.81, according to ZipRecruiter salary data. Most workers in this role earn between $36.11 and $49.76 per hour, depending on experience, location, and employer.

What is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals skilled in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries, especially with certifications or advanced degrees.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, NumPy, or frameworks like Django and Flask, and may involve tasks like scripting, data processing, or web development.

Is Python a high paying job?

Python data roles, such as Python developers or data analysts, tend to offer competitive salaries due to the high demand for programming and data skills. Salaries vary based on experience, location, and industry, but Python-related positions generally pay above average compared to many other tech roles.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.
What are popular job titles related to Python Data jobs in Florida? For Python Data jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Python Data jobs in Florida look for? The top searched job categories for Python Data jobs in Florida are:
Python Data jobs near you
Python Software Developer ((Python AWS, RAG) - Hybrid in St.Petersburg, FL

Python Software Developer ((Python AWS, RAG) - Hybrid in St.Petersburg, FL

Noblesoft Solutions

Saint Petersburg, FL • Hybrid

$47.50 - $65.50/hr

Other

Posted 18 days ago

Job description

Position: Python Software Developer

Contract Duration: 12+ Months

Location: St. Petersburg, FL (Hybrid, 3 days onsite)


Duties:

We are seeking a talented and passionate Python Developer to join our team and contribute to the development and implementation of innovative Retrieval-Augmented Generation (RAG) systems. You will play a crucial role in designing, building, and maintaining applications that leverage the power of large language models (LLMs) and advanced retrieval techniques to create cutting-edge AI solutions.


Skills:

Strong Python programming skills:

Demonstrated proficiency in Python programming, including experience with relevant libraries and frameworks (e.g., FastAPI, Flask, Pandas, NumPy).

Experience with LLMs and RAG systems:

Familiarity with large language models and retrieval-augmented generation techniques, including experience with LLM APIs and retrieval systems.

Experience with data retrieval and indexing:

Experience with data retrieval from various sources (e.g., databases, APIs, file systems) and building and managing retrieval indices.

Knowledge of data structures and algorithms:

Understanding of fundamental data structures and algorithms relevant to building efficient and scalable RAG applications.

Experience with cloud computing platforms (e.g., AWS, GCP, Azure):

Familiarity with cloud computing platforms and their services for deploying and scaling RAG applications.

Strong problem-solving and analytical skills:

Ability to identify, analyze, and solve complex problems related to data retrieval, LLM integration, and RAG system optimization.

Bonus Points:

Experience with specific LLM frameworks (e.g., LangChain, Hugging Face Transformers).

Familiarity with search engines and information retrieval techniques.

Experience with machine learning and deep learning concepts.

Experience with building and deploying production-ready applications.

Contribution to open-source projects related to RAG or LLMs.


Education:

Bachelor's degree in Computer Science, Software Engineering, or related technical field required

Master's degree in Computer Science, AI/ML, or related field preferred

Relevant professional certifications in Python, cloud platforms, or AI/ML technologies are a plus

Apply