Senior Market Data Engineer: Real-Time Feeds & Snowflake

Neurensic; New York (NY); In loco; USD 130.000 - 180.000; Tempo pieno

Descrizione del lavoro

Trading Technologies is seeking an experienced Market Data Engineer in New York to build and support market data feed handlers and downstream analytics. You will work across equities, futures, options, FX, and fixed income, interfacing with ICE, Refinitiv, and other providers using C#, SQL, and Python.

The role emphasizes production readiness, data quality, and modern data workflows on SQL Server and Snowflake, with AWS in the mix. Strong hands-on problem solving is essential.

Competenze

• Bachelor’s degree in CS/Data Engineering or related field.
• 8–10+ years in software engineering and market data systems.
• Strong knowledge of financial market data and C# development.
• Experience with SQL Server, Snowflake, and data pipelines.
• Ability to operate in production environments with automation.

Mansioni

• Vendor feed integration from ICE, Refinitiv, and others with proper entitlements.
• Support multi-asset market data for equities, futures, FX, and fixed income.
• Develop and maintain instrument mappings, reference data, and pricing data.
• Build and optimize C# feed handlers and data workflows to downstream systems.
• Process real-time trades/quotes and ensure data quality and reliability.
• Triage production issues and support SLAs, with bias toward automation.

Conoscenze

C#

SQL

Python

Market data systems

Real-time processing

Data pipelines

ETL/ELT

Problem solving

Formazione

Bachelor’s degree in CS/Data Eng

Strumenti

Snowflake

SQL Server

Apache Airflow

AWS

CI/CD

Liquibase

Git

Descrizione del lavoro

Trading Technologies is seeking an experienced Market Data Engineer in New York to build and support market data feed handlers and downstream analytics. You will work across equities, futures, options, FX, and fixed income, interfacing with ICE, Refinitiv, and other providers using C#, SQL, and Python.

The role emphasizes production readiness, data quality, and modern data workflows on SQL Server and Snowflake, with AWS in the mix. Strong hands-on problem solving is essential.