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Python Data Jobs in Florida (NOW HIRING)

Diverse Lynx

Pyspark/Python Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Diverse Lynx is a company focused on providing technology solutions, and they are seeking a Pyspark/Python Data Engineer to design and maintain ETL/ELT pipelines. The role involves developing ...

New

Virtusa

Python Data Engineer

Tampa, FL

$108K - $129K/yr

Senior Data Engineer role with10+ years of experience building scalable ETL pipelines using PySpark, Python, and Databricks. The ideal candidate will design data models (Medallion architecture ...

Virtusa

Python Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Senior Data Engineer role with10 years of experience building scalable ETL pipelines using PySpark, Python, and Databricks. The ideal candidate will design data models (Medallion architecture ...

Hirekeyz Inc

Data QE

Tampa, FL · On-site

$108K - $129K/yr

Technical skills - 1 . ETL Data warehousing 2. Advanced SQL 3. Programming (Python/Java) 4. Agile methodologies * Design and Develop Automated Data Quality Tests: * Create and maintain automated test ...

Kforce Technology Staffing

Data Engineer

Juno Beach, FL

$111K - $134K/yr

Clean, preprocess, and transform structured and unstructured data using Python * Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends * Build reusable data ...

Purple Drive Technologies

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Job Title: Python AI/ML Engineer - AI & Automation Location: Tampa, FL (Local candidates only ... Perform data preprocessing, cleaning, and feature engineering for high-quality input data. * Train ...

Quanta Search

Python Developer

West Palm Beach, FL · Hybrid

$48.50 - $67/hr

Requirements: 2+ years experience with experience in Python programming Experience developing pipelines and libraries to retrieve data and perform computation Creating front-end applications to ...

Quanta Search

Python Developer

West Palm Beach, FL · On-site

$48.50 - $67/hr

Requirements: • 2+ years experience with experience in Python programming • Experience developing pipelines and libraries to retrieve data and perform computation • Creating front-end ...

Dlapiper

Data Engineer

Miami, FL

$109K - $131K/yr

Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse ...

Varsity Tutors

Python Tutor

Coral Gables, FL · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

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How much do python data jobs pay per hour?

As of Jun 12, 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
Pyspark/Python Data Engineer

Pyspark/Python Data Engineer

Diverse Lynx

Tampa, FL • On-site

$108K - $129K/yr

Full-time

Posted yesterday

Job description

Job Summary:
Diverse Lynx is a company focused on providing technology solutions, and they are seeking a Pyspark/Python Data Engineer to design and maintain ETL/ELT pipelines. The role involves developing optimized data processing components and ensuring data quality and performance across pipelines.
Responsibilities:
• Design, develop, and maintain ETL/ELT pipelines using PySpark
• Write optimized and scalable PySpark transformations using DataFrames and Spark SQL
• Develop reusable and efficient Python-based data processing components
• Ensure data quality, integrity, and performance across pipelines
• Perform debugging, performance tuning, and optimization of PySpark jobs
• Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)
• Contribute to CI/CD pipelines and deployment workflows for data applications
• Monitor and troubleshoot data workloads in production environments
Qualifications:
Required:
• Strong hands-on experience in PySpark (Spark SQL, DataFrame API)
• Advanced proficiency in Python (data processing, performance tuning, modular coding)
• Solid understanding of ETL design patterns and data pipeline architecture
• Good working knowledge of SQL for data transformation and analysis
• Experience with data processing in distributed environments
• 3–8 years of experience in Data Engineering / PySpark development
• Proven hands-on project experience in PySpark + Python
Preferred:
• Experience with cloud platforms (AWS preferred – S3, Glue, EMR or equivalent services)
• Familiarity with workflow orchestration tools such as Airflow or similar schedulers
• Exposure to data warehousing concepts (e.g., Snowflake or similar platforms)
• Knowledge of code versioning (Git) and CI/CD practices
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.
Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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