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Data Engineer

  • Data Engineer job type Posted on: Nov 04, 2026
  • Data Engineer experience level Intec Select
  • Data Engineer employment type Chicago, Illinois
  • Data Engineer salary Salary: $150,000 per year
  • Data Engineer employment type Onsite
  • Data Engineer salary Full-time

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Job Title :

Data Engineer

Job Type :

Full-Time

Job Location :

Chicago Illinois United States

Remote :

No

Jobcon Logo Job Description :

Data Engineer - $150k - $250k Base ($200k - $400k TC) – NYC/ Chicago/ London (Hybrid) – Prop TradingOverviewWe 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 & ResponsibilitiesDesign, 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.Essential Skills & Experience3+ 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 & LocationBase Salary: $150,000 – $250,000Total Comp: $200k - $400kChicago, NYC or London (Hybrid)Data Engineer - $150k - $250k Base ($200k - $400k TC) – NYC/ Chicago/ London (Hybrid) – Prop Trading

Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

10440_4476637741

Employment:

Full-time

Salary:

$150,000 per year

City:

Chicago

Job Origin:

APPCAST_CPC

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Data Engineer - $150k - $250k Base ($200k - $400k TC) – NYC/ Chicago/ London (Hybrid) – Prop TradingOverviewWe 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 & ResponsibilitiesDesign, 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.Essential Skills & Experience3+ 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 & LocationBase Salary: $150,000 – $250,000Total Comp: $200k - $400kChicago, NYC or London (Hybrid)Data Engineer - $150k - $250k Base ($200k - $400k TC) – NYC/ Chicago/ London (Hybrid) – Prop Trading

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