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Python Data Jobs in Florida (NOW HIRING)

Purple Drive

Python Data Engineer

Tampa, FL

$108K - $129K/yr

Strong hands-on experience in Python for data engineering and application development. Extensive experience with AWS cloud services, including S3, EMR, Glue, Lambda, IAM, EC2, ECS/EKS, CloudWatch ...

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 ...

Motion Recruitment

Senior Python Developer

Tampa, FL · Hybrid

$111K - $149K/yr

Core Python & Data Engineering: * Expert-level programming skills in Python and PySpark, specifically for developing Spark applications. * Experience with PySpark for data processing. * Familiarity ...

Software Guidance & Assistance

Python Developer

Tampa, FL · On-site

$45.75 - $63/hr

Core Python & Data Engineering: * Expert-level programming skills in Python and PySpark, specifically for developing Spark applications. * Experience with PySpark for data processing. * Familiarity ...

Virtusa

Agentic AI developer

Tampa, FL · On-site

$114K - $154K/yr

The role requires deep expertise in Python, data engineering, and AI/GenAI (including LLMs), with a strong focus on delivering scalable, innovative solutions to complex business problems. The ...

Booz Allen Hamilton, Inc.

Data Architect, Senior

Tampa, FL · On-site

$63.50 - $85/hr

Our architecture, pipelines, and tooling are built on modern Python frameworks. You'll be designing schemas, optimizing queries, and making data modeling decisions that the rest of the team builds on ...

Booz Allen Hamilton

Data Architect, Senior

Tampa, FL · On-site

$63.50 - $85/hr

Our architecture, pipelines, and tooling are built on modern Python frameworks. You'll be designing schemas, optimizing queries, and making data modeling decisions that the rest of the team builds on ...

Booz Allen Hamilton, Inc.

Data Architect, Senior

Tampa, FL · On-site +1

$63.50 - $85/hr

Our architecture, pipelines, and tooling are built on modern Python frameworks. You'll be designing schemas, optimizing queries, and making data modeling decisions that the rest of the team builds on ...

ClifyX

Python developer

Tampa, FL · On-site

$47.50 - $65.50/hr

The role involves developing and maintaining robust Python applications, working with data pipelines, and collaborating on various projects. Responsibilities : • Extensive work experience and deep ...

Kemper

Data Quality Engineer

Jacksonville, FL · Remote

$106K - $127K/yr

Python-based automation and testing frameworks * Strong knowledge of test environment strategy, including environment planning, test data management, deployment coordination, integration testing ...

Dlapiper

Data Engineer

Miami, FL · On-site

$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 ...

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How much do python data jobs pay per hour?

As of Sep 6, 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 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 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 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 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.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

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
Infographic showing various Python Data job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $91,119 per year, or $43.8 per hour.

Python Data Engineer

Purple Drive

Tampa, FL

$108K - $129K/yr

Contractor

Re-posted 7 days ago

Job description

Strong hands-on experience in Python for data engineering and application development. Extensive experience with AWS cloud services, including S3, EMR, Glue, Lambda, IAM, EC2, ECS/EKS, CloudWatch, and Redshift. Strong expertise in Apache Spark for large-scale batch data processing. Hands-on experience with Apache Flink for real-time stream processing and event-driven data pipelines. Experience designing and implementing batch and streaming data architectures. Strong knowledge of data modeling, data warehousing, and data lake/lakehouse concepts. Experience with ETL/ELT frameworks and data integration. Strong SQL skills and experience with relational and NoSQL databases. Experience with Apache Kafka or similar messaging/event streaming platformsStrong understanding of distributed computing and big data technologies. Experience with Docker, Kubernetes, and CI/CD pipelinesHands-on experience with Git and Agile development methodologies. Design and implement scalable, secure, and high-performance data architecture solutions on AWS. Build and optimize batch processing pipelines using Apache Spark. Develop real-time streaming data solutions using Apache Flink. Design end-to-end data ingestion, transformation, and processing pipelines. Define data models, governance standards, and architectural best practices. Python, Apache Spark, AWS, Apache Flink, batch and streaming data architectures, ETL/ELT, Apache Kafka, Docker, Kubernetes, CI/CD pipelines.