Refer a freelancer, and you both get 1 free week of DFH Premium. They must use your code {code} at sign-up. More referrals = more free weeks! T&Cs apply.
1 of 5 free roles viewed today. Upgrade to premium for unlimited.

Python Developer ( F2F Interview in Pittsburgh PA or Cleveland OH )

This role is a Python Developer position for a contract that may extend or convert to hire, located in Pittsburgh, PA or Cleveland, OH. Key skills include Python, Pandas, Apache Airflow, and experience with large-scale data processing.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 8, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Cleveland, OH
🧠 - Skills detailed
#Python #Apache Airflow #API (Application Programming Interface) #Data Pipeline #Spark (Apache Spark) #Data Processing #Pandas #Airflow
Role description
You've reached your limit of 5 free role views today. Upgrade to premium for unlimited access.

Dice is the leading career destination for tech experts at every stage of their careers. Our client, System One, is seeking the following. Apply via Dice today!

For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message.
• Contract position; contract can be extended; contract to hire is possible.
• The job is on-site with a HYBRID work schedule. Candidates must be local or willing to relocate within commuting distance of Pittsburgh PA or Cleveland OH
• F2F interview on site in Pittsburgh PA or Cleveland OH required - you must be local or travel to attend the interview on your own w/o any travel assistance

Python Developer :
• Design and develop software applications using Python, focusing on API development and data processing
• Work with large-scale data processing using Parquet files in Python/Spark environment
• Develop and optimize data pipelines using Pandas and Apache Airflow

For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message.

#M1