

New York Technology Partners
Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with a contract length of "unknown" and a pay rate of "unknown." Key skills include 10+ years in software development and data warehousing, 7+ years in Python, and experience with Azure Cloud.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 23, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Data Mining #Big Data #Azure #Scrum #Agile #Database Design #API (Application Programming Interface) #Data Architecture #SQL (Structured Query Language) #Redshift #Scala #Azure cloud #Data Pipeline #Snowflake #Data Modeling #Datasets #Cloud #Python
Role description
🔹 Required Skills:
✔ 10+ years of Software Development experience
✔ 10+ years of Data Warehousing experience with Snowflake or Redshift
✔ 7+ years of hands-on Python Development
✔ Strong SQL Database Design & Query Optimization
✔ Experience with Azure Cloud (preferred)
✔ API Design & Development
✔ Big Data Pipelines & Data Architecture
✔ Data Modeling & Data Mining Techniques
✔ Agile/Scrum Environment Experience
🔹 Key Responsibilities:
• Design and develop scalable data platforms and applications
• Build and optimize enterprise data pipelines and warehouse solutions
• Develop APIs and cloud-based integrations
• Collaborate with cross-functional teams in a fast-paced environment
• Analyze structured and unstructured datasets
• Drive data architecture and engineering best practices
🔹 Required Skills:
✔ 10+ years of Software Development experience
✔ 10+ years of Data Warehousing experience with Snowflake or Redshift
✔ 7+ years of hands-on Python Development
✔ Strong SQL Database Design & Query Optimization
✔ Experience with Azure Cloud (preferred)
✔ API Design & Development
✔ Big Data Pipelines & Data Architecture
✔ Data Modeling & Data Mining Techniques
✔ Agile/Scrum Environment Experience
🔹 Key Responsibilities:
• Design and develop scalable data platforms and applications
• Build and optimize enterprise data pipelines and warehouse solutions
• Develop APIs and cloud-based integrations
• Collaborate with cross-functional teams in a fast-paced environment
• Analyze structured and unstructured datasets
• Drive data architecture and engineering best practices






