Contract Senior Python Developer Jobs in Intone Networks Inc New York, NY

Responsibilities:

• Design, develop, and maintain Python-based applications and data processing pipelines for banking and financial services.
• Build and optimize ETL/ELT workflows using Azure Databricks, PySpark, and cloud-native components.
• Work closely with Quant, Risk, Treasury, and Operations teams to translate business requirements into scalable technical solutions.
• Develop APIs, automation tools, and reusable data frameworks to support enterprise-wide analytics.
• Implement data quality checks, data validation routines, and performance tuning strategies.
• Manage and deploy workloads in Azure using services such as Azure Data Factory, Azure Storage, Azure Functions, Key Vault, and CI/CD pipelines.
• Collaborate with on-site team members three times a week in New York/New Jersey for planning, code reviews, and architecture discussions.
• Ensure solutions meet security, compliance, and governance requirements common in highly regulated banking environments.
• Troubleshoot production issues, identify root causes, and provide timely fixes.
• Document technical designs, workflows, and operational procedures.
  
  

Required Qualifications:

• 8+ years of hands-on experience as a Python Developer or Backend Engineer.
• Strong expertise with Python, including multiprocessing, OOP, and package development.
• Solid background in data engineering, distributed computing, and large-scale data pipelines.
• Strong SQL skills and experience with relational databases (PostgreSQL, SQL Server, Oracle, etc.).
• Banking or financial services experience—Risk, Treasury, Capital Markets, or Compliance preferred.
• Experience with API development (REST), microservices, and containerization (Docker/Kubernetes is a plus).
• Familiarity with security best practices in enterprise cloud environments.
• Excellent communication and collaboration skills; ability to work effectively in hybrid, on-site teams.
• Must be local to New York or New Jersey and able to commute onsite 3 days per week.
• No relocation candidates accepted.

Preferred Qualifications:

• Experience with event-driven architectures (Kafka, Event Hubs).
• Knowledge of Pandas, NumPy, or other analytical libraries.
• Experience working directly with front-office, trading, or quant teams.
• Understanding of CI/CD, infrastructure-as-code (Terraform, ARM templates).
• Strong problem-solving and debugging skills in distributed systems.