Senior Back-End - Python -SQL Developer -Lead Python Developer-Onsite @NYC NY-Need Locals

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Back-End
Backend
Python
Sql
Lead
Led
Finance
Financial
PySpark
FastAPI
Pandas
Polars
Spring Boot
SWAP QE
Apache Spark
Databricks
ETL
Pandas / Polars
Flask / Django
Quantitative Engineering
Interest Rate Derivatives
Financial Risk Modeling
AWS Glue
Machine Learning integration
Terraform
CI/CD pipelines
GraphQL
Selenium
BeautifulSoup
Scrapy
HTTP

Job Details

Title Senior Back-End - Python -SQL Developer - Lead Python Developer

Location-Onsite @ NYC NY-Need Locals

Duration Contract

Job Description:

Role Description

Role Description

  • Lead Python Developer with 10+ years of experience in designing, developing, and deploying enterprise-grade applications across the finance sector,

with expertise in Python, PySpark, FastAPI, Pandas, Polars, and Spring Boot to deliver scalable, high-performance solutions

  • Experience in quantitative engineering for interest rate derivatives within a SWAP QE environment
  • Knowledge of big data processing and analytics, leveraging Apache Spark, Databricks,

and AWS Glue to handle large-scale data pipelines, with hands-on experience in ETL processes,

financial risk modeling, predictive analytics, and machine learning to drive data-driven decision-making

and operational efficiency for high-volume transactional applications.

  • Strong background in cloud computing and DevOps, proficient in AWS, Docker, Kubernetes,

and Terraform for infrastructure automation, microservices orchestration, and CI/CD deployment pipelines,

with expertise in serverless computing, API gateway management, and

security best practices to ensure reliable, cost-efficient cloud-native solutions.

  • Understands backend development and API-driven architectures, designing and implementing RESTful and

GraphQL APIs using FastAPI, Flask, and Django, with hands-on experience in microservices, event-driven architectures using Kafka

and RabbitMQ, and database optimization with PostgreSQL, MongoDB, Redis, Oracle, and PL/SQL for high-performance applications.

  • Must be able to demonstrate working in Agile methodologies with cross-functional collaboration, leading teams through Scrum,

Kanban, and SAFe frameworks, with expertise in code quality assurance, test-driven development using PyTest and Selenium, peer reviews,

and continuous integration strategies to ensure robust, scalable, and maintainable software aligned with industry best practices.

  • Proficient in web scraping, data engineering, and automation, utilizing Selenium, BeautifulSoup, Scrapy, and Requests to extract,

transform, and load data from diverse sources, with expertise in scheduling jobs using Apache Airflow,

optimizing data workflows, and integrating AI/ML models for intelligent data processing and business insights.

Regards,

Sai Srikar

Email:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.