Python Developer – Python, Dask, Airflow (Tampa, FL – Hybrid)

Are you an experienced Python Developer seeking a role where you can apply your expertise in big data, workflow orchestration, and ETL development? We are looking for a technically strong and detail-oriented professional to join a cutting-edge team working with Python, Pandas, Dask, and Airflow.

This hybrid opportunity is based in Tampa, FL and is open to local candidates only. If you enjoy working in dynamic environments where innovation meets scale, this contract role could be the next step in your career.

What You’ll Be Doing as a Python Developer

As a Python Developer, you will be responsible for building and optimizing data workflows that power business-critical analytics. Your work will involve large-scale data processing, seamless integration of diverse data sources, and ensuring the accuracy and performance of data pipelines.

Key Responsibilities for Python Developer:

• Design, build, and maintain robust data pipelines using Python, Pandas, and Dask

• Manage workflow orchestration using Apache Airflow

• Develop and support scalable ETL processes that handle structured and unstructured data

• Work with MongoDB and Neo4j to manage and query complex datasets

• Collaborate with data scientists, analysts, and engineers to meet business needs

• Maintain high standards of data quality, integrity, and security

• Proactively monitor pipeline performance and troubleshoot data issues

• Follow best practices in coding, automation, and version control using Git

Required Skills and Qualifications for Python Developer:

• Advanced programming skills in Python, with strong experience in Pandas

• Hands-on experience with Dask for parallel processing and large datasets

• Proficiency in Apache Airflow for scheduling and managing workflows

• Practical experience building and maintaining ETL pipelines

• Working knowledge of MongoDB and Neo4j databases

• Understanding of data modeling principles and data governance

• Familiarity with Git or similar version control systems

Preferred Qualifications for Python Developer:

• Experience with Docker or similar containerization tools

• Exposure to cloud platforms like AWS, GCP, or Azure

• Understanding of Cypher language for querying graph databases in Neo4j

This opportunity is ideal for professionals who are passionate about transforming raw data into actionable insights and who enjoy building systems that scale with business needs.

Ready to Apply?

If you meet the requirements and are excited about this hybrid opportunity in Tampa, we encourage you to apply today.

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✅ 3. FAQs Section (15 Total) Python Developer:

1. What are the core responsibilities of this Python Developer role?
   You’ll develop and manage data pipelines using Python, Dask, and Airflow while integrating MongoDB and Neo4j for efficient data handling.

2. What level of Python experience is required?
   You should have strong hands-on experience with Python and Pandas for data manipulation and scripting.

3. Is experience with Dask mandatory?
   Yes, Dask is required for handling large-scale parallel data processing.

4. How is Airflow used in this role?
   Airflow is used for workflow orchestration to automate and manage data pipelines efficiently.

5. Is this a remote or onsite role?
   It is a hybrid role based in Tampa, FL. Local candidates must be available for onsite work as needed.

6. Will the role involve working with unstructured data?
   Yes, you will work with both structured and unstructured data from multiple sources.

7. Are MongoDB and Neo4j skills mandatory?
   Yes, working knowledge of both MongoDB and Neo4j is necessary.

8. What is the employment type for this role?
   It is a contract position.

9. Are green card holders or visa holders eligible?
   This role does not accept GC visa candidates.

10. Do I need to submit my LinkedIn profile with the resume?
    Yes, LinkedIn profile and visa status are mandatory for consideration.

11. What version control system should I know?
    Familiarity with Git or similar tools is expected.

12. Is containerization like Docker required?
    Not mandatory, but preferred.

13. Will I be working with data scientists or business teams?
    Yes, collaboration with data scientists, analysts, and stakeholders is part of the role.

14. Is there any training provided?
    No formal training will be provided; the candidate is expected to come with required skills.

15. How soon is the start date?
    The position is open immediately for the right local candidate.