Senior Data Engineer - Derivatives Analytics (Hybrid)

Citi; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Citi is looking for a Senior Data Engineer to join their Equities Technology team in New York. You will develop a best-in-class data and analytics platform for the Equity Derivatives Markets, collaborating with high-level engineers and business partners to drive innovative solutions.

Ideal candidates have 6-10 years of experience in Python data engineering, with a solid understanding of financial products and modern engineering practices. A Bachelor's degree in a related field is required, with a Master’s preferred.

Qualifications

• 6-10 years of relevant strong experience with Python data engineering stack.
• Experience with high-performance data stores and query engines.
• Demonstrable experience with AI-native solutions.

Responsibilities

• Build a data platform using a modern data engineering stack.
• Create data pipelines for market data and analytics.
• Partner closely with traders and quants.

Skills

Python data engineering stack

Docker

High-performance data stores

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Polars

FastAPI

Airflow

Trino

KDB

Job description

Citi is looking for a Senior Data Engineer to join their Equities Technology team in New York. You will develop a best-in-class data and analytics platform for the Equity Derivatives Markets, collaborating with high-level engineers and business partners to drive innovative solutions.

Ideal candidates have 6-10 years of experience in Python data engineering, with a solid understanding of financial products and modern engineering practices. A Bachelor's degree in a related field is required, with a Master’s preferred.