Python Developer

C2R Ventures

New York (NY)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Job summary

C2R Ventures in New York, NY is seeking a Python Engineer to work closely with quantitative researchers to design and build efficient and scalable workflows for data processing and retrieval. You will own projects through their full production deployment life cycle and contribute to the firm's overall data strategy, shaping data infrastructure and tooling for fast, reliable analysis.

You will partner with researchers to translate complex data science ideas into robust pipelines, applying Python,

Qualifications

  • Intellectual curiosity, strong analytical and quantitative skills, and a high degree of self-direction.
  • BS/MS degree in Computer Science or a related STEM field
  • 3+ years of Python programming experience
  • Ability to process and manipulate large volumes of data

Responsibilities

  • Design and build efficient and scalable workflows for data processing and retrieval.
  • Own projects through their full production deployment life cycle and contribute to the firm's overall data strategy.

Skills

Python programming
Data processing
Analytical thinking
Self-direction

Education

BS/MS in CS or related STEM

Tools

AWS
Kubernetes (EKS)
Kafka
NoSQL

Job description

Buy Side firm is looking for a Python Engineer to work closely with quantitative researchers to design and build efficient and scalable workflows for data processing and retrieval.

You will assume strong ownership of projects throughout their full production deployment life cycle and meaningfully contribute to the firm's overall data strategy.

Job Requirements:
  • Intellectual curiosity, strong analytical and quantitative skills, and a high degree of self-direction
  • BS/MS degree in Computer Science or a related STEM field
  • 3+ years of Python programming experience
  • Ability to process and manipulate large volumes of data
Complementary Skills
  • Knowledge of finance with experience working with front office teams
  • Experience with financial data sets
  • AWS, EKS/Kubernetes, Kafka, and NoSQL experience
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