Data Engineer

Intec Select Limited; Chicago (IL); Hybrid; USD 150,000 - 250,000; Full time

Job summary

Intec Select Limited is seeking a Data Engineer to join a hybrid team across Chicago, NYC or London. You will build scalable data infrastructure to support options and delta-one trading strategies, working closely with traders, quantitative researchers and developers.

The role demands 3+ years in data engineering, strong Python skills and experience with financial time-series data, data ingestion pipelines and data quality controls in a fast-paced trading environment.

Qualifications

• 3+ years' experience in Data Engineering, preferably in financial markets.
• Strong Python skills and data science ecosystem.
• Experience designing scalable data ingestion pipelines.
• Understanding of options, futures and derivatives market data.
• Excellent communication with trading, research and engineering teams.

Responsibilities

• Design, develop and maintain scalable data ingestion pipelines.
• Ingest and transform financial data from internal and external sources.
• Implement data quality controls and monitoring.
• Collaborate with traders and researchers to support strategies.
• Develop time-series datasets and APIs for accessibility.
• Support AI initiatives through data annotation and enrichment.
• Onboard data from vendors and ensure accuracy and timeliness.
• Work in a hybrid NYC/Chicago/London environment.

Skills

Python

Data pipelines

SQL

Time-series data

Financial markets

Collaboration

Tools

Python libraries

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