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Python Data Developer Jobs in Florida (NOW HIRING)

Python Tutor

Miami, 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 ...

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 ...

Python Tutor

Tampa, 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 ...

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 ...

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 ...

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 ...

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 ...

Python Tutor

Doral, 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 ...

Python Tutor

Miramar, 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 ...

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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Python Data Developer information

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

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

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

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

Senior PySpark Developer - Vice President

Senior PySpark Developer - Vice President

Citigroup, Inc.

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Job Description:
We are seeking a highly skilled and experienced Senior PySpark Developer to join our dynamic technology team. This role requires an individual with deep expertise in Python, PySpark, Big Data technologies, and SQL, coupled with a strong ability to work independently and contribute significantly to complex data engineering initiatives. The ideal candidate will have a proven track record in designing, developing, and optimizing scalable data solutions, with experience in ETL processes and a keen interest in leveraging the latest technologies. Domain knowledge in Finance will be a significant advantage, enabling the candidate to contribute to critical financial crime compliance projects.
Responsibilities:
  • Design, develop, and implement robust, scalable, and high-performance data pipelines and applications using Python, PySpark, and Big Data technologies.
  • Work autonomously to analyze requirements, propose technical solutions, and deliver high-quality code and data products, ensuring alignment with architectural standards and business objectives.
  • Utilize expertise in various Big Data platforms (e.g., Hadoop, Hive, Kafka, Spark) to process, transform, and manage large datasets efficiently.
  • Write complex SQL queries, stored procedures, and optimize database performance for large-scale data warehousing and analytics solutions.
  • Develop and enhance ETL (Extract, Transform, Load) processes, ensuring data quality, integrity, and timely delivery. Experience with various ETL tools and methodologies is a plus.
  • Proactively research, evaluate, and integrate new and emerging technologies, frameworks, and tools to improve development processes and solution capabilities.
  • Ensure adherence to coding standards, conduct thorough code reviews, and implement best practices for software development, data governance, and security.
  • Diagnose and resolve complex technical issues related to data pipelines, performance bottlenecks, and system integrations in a fast-paced environment.
  • Collaborate effectively with cross-functional teams including architects, data scientists, business analysts, and QA engineers. Provide technical guidance and mentorship to junior team members.
  • Identify opportunities to use AI tools to speed up development, code reviews, unit testing and deployment.

Experience:
  • 10+ years of experience in Applications Development, Systems Analysis, or equivalent senior engineering roles.
  • Extensive hands-on experience delivering enterprise-scale, database-driven platforms in a regulated environment.

Technical Skills
  • Expert-level proficiency in Python programming, including object-oriented design, data structures, algorithms, and extensive experience with various Python libraries.
  • Deep expertise in developing, optimizing, and deploying PySpark applications for large-scale data processing, ETL, and real-time analytics on distributed systems (e.g., Spark SQL, Spark Streaming, DataFrames).
  • Strong understanding of Apache Spark architecture, Hadoop ecosystem, and experience with distributed computing concepts. Familiarity with big data storage formats (e.g., Parquet, ORC).
  • Solid experience with both relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB). Strong SQL writing and optimization skills.
  • Experience in designing, developing, and consuming RESTful APIs using Python frameworks (e.g., Flask, FastAPI, Django REST Framework).
  • Strong understanding and practical experience with CI/CD tools (e.g., Jenkins) and containerization technologies (Docker, Kubernetes).
  • Expert-level proficiency with Git.
  • Experience with unit testing (e.g., Pytest), integration testing, and performance testing frameworks for Python and PySpark applications.
  • Exposure to at least one major cloud provider (AWS, Azure, or GCP), specifically with their compute, storage, and data services (e.g., S3, ADLS, EMR, Databricks, Azure Synapse) preferred.
  • Exposure to or direct experience with Artificial Intelligence (AI) and Machine Learning (ML) concepts, frameworks (e.g., TensorFlow, PyTorch), or relevant projects is a significant advantage

Soft Skills:
  • Exceptional analytical and problem-solving abilities, with a strong capacity to understand complex business needs and translate them into effective technical solutions.
  • Excellent leadership, team management, and mentoring capabilities.
  • Superior verbal and written communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.
  • Strong collaboration and interpersonal skills, with a proven ability to work effectively with cross-functional teams.
  • Highly proactive, results-oriented, and a strong commitment to delivering high-quality, innovative solutions.
  • Ability to thrive and lead in an agile, dynamic, and fast-paced work environment.

Education:
  • Bachelor's degree/University degree or equivalent experience
  • Master's degree preferred

This role offers a challenging and rewarding opportunity for a seasoned developer to make a significant impact on critical data initiatives within Citi's global technology landscape, contributing to robust and compliant financial systems.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$113,840.00 - $170,760.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jun 05, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.