Data Engineer

Intec Select; New York (NY); Hybrid; USD 150,000 - 250,000; Full time

Job summary

Intec Select partners with a leading global proprietary trading firm to hire a Data Engineer in Chicago, NYC or London (Hybrid). You will design and maintain scalable data ingestion pipelines, onboard and transform financial datasets, and implement data quality controls to support options and delta-one trading strategies.

Join a high-performance environment where traders, researchers and developers rely on accurate, accessible data and robust pipelines to drive AI-enabled insights and trading

Qualifications

• Minimum 3+ years of commercial Data Engineering experience, preferably in trading or financial markets.
• Strong Python skills and experience with data science ecosystem.
• Experience designing scalable data ingestion and transformation pipelines and working with financial time-series data.

Responsibilities

• Design, develop and maintain scalable data ingestion pipelines.
• Onboard and integrate financial data from internal systems and external vendors.
• Build data quality controls to identify gaps and inaccuracies.
• Collaborate with traders and researchers to support trading strategies.
• Develop and optimize historical, time-series datasets.
• Implement monitoring and observability for data pipelines.
• Enable data accessibility via efficient data structures and APIs.
• Support AI initiatives through data annotation and enrichment.

Skills

Python

Data engineering

Data quality

Trading domain knowledge

Time-series data

Tools

SQL

Pandas

APIs

Job description

Data Engineer - $150k - $250k Base ($200k - $400k TC) – NYC/ Chicago/ London (Hybrid) – Prop Trading

Overview

We are currently partnered with a leading global proprietary trading firm seeking an experienced Data Engineer to join their growing technology function in Chicago, NYC or London.

The successful candidate will work closely with traders, quantitative researchers and developers to build scalable data infrastructure supporting options and delta-one trading strategies. This is an excellent opportunity to work in a high-performance trading environment where data quality, accuracy and accessibility are critical to business success.

Role & Responsibilities

• Design, develop and maintain scalable data ingestion pipelines and core trading datasets.
• Onboard, transform and integrate financial data from internal systems and external vendors.
• Build robust data quality controls to identify gaps, inconsistencies and inaccuracies.
• Collaborate with traders, quantitative researchers and developers to support trading strategies and research initiatives.
• Develop and optimise historical, point-in-time and time-series datasets.
• Implement monitoring, observability and alerting solutions across data pipelines.
• Enhance data accessibility through efficient data structures and APIs.
• Support AI-driven initiatives through the annotation and enrichment of financial datasets.
• 3+ years' commercial experience in Data Engineering, ideally within proprietary trading, hedge funds or financial markets.
• Strong Python skills, including experience with its data science ecosystem.
• Proven experience designing and implementing scalable data ingestion and transformation pipelines.
• Good understanding of options, futures and derivatives, including their associated market data requirements.
• Strong knowledge of financial time-series and point-in-time data.
• Experience working with financial market data vendors and integrating external datasets.
• Proven ability to implement data quality, validation and monitoring processes.
• Strong analytical and problem-solving skills with the ability to operate in a fast-paced trading environment.
• Excellent communication skills and experience collaborating with trading, research and engineering teams.

Package & Location

• Total Comp: $200k - $400k
• Chicago, NYC or London (Hybrid)

Data Engineer - $150k - $250k Base ($200k - $400k TC) – NYC/ Chicago/ London (Hybrid) – Prop Trading