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Data Engineer

A leading quantitative trading firm is hiring a Data Engineer to build the datasets and data infrastructure that power options and delta-one trading.


This team sits close to the desks and research groups, delivering trusted point-in-time history and fast access to high-volume market and trading data used directly in strategy development and live decision-making.


This is a strongly engineering-led role: you’ll build production-grade ingestion pipelines, data quality controls and observability across critical data systems. The work is high-impact, the feedback loops are tight, and the bar for correctness and reliability is extremely high - because the data you ship is the data people trade on.


Responsibilities:

  • Build and own core trading datasets (time-series + point-in-time history) used by traders and researchers.
  • Design and operate ingestion pipelines for internal and external/vendor data sources.
  • Implement data quality and control processes to detect gaps, inconsistencies, and silent failures.
  • Develop monitoring, observability, and alerting for pipelines and data products.
  • Partner with research and trading teams to improve historical datasets and enable faster iteration.
  • Create AI-ready dataset annotations/metadata to support modern research and automation workflows.


Your Profile:

  • 3+ years of experience designing and implementing data ingestion pipelines in production.
  • Strong Python skills and familiarity with the Python data ecosystem.
  • Solid understanding of time-series and point-in-time data (and why it matters).
  • Experience building data quality frameworks and reliability guardrails.
  • Comfortable working in a fast-paced environment with shifting priorities and high expectations.


Nice to have:

  • Familiarity with derivatives markets (options/futures) and their data requirements.
  • Experience with financial data vendors and common market data products.
  • Strong observability practices (metrics, logging, alerting, on-call hygiene).
  • Experience designing APIs or ergonomic data access layers for internal users.


Other Important Information:

Chicago (On-site) | Full-time | $150K–$200K base + bonus


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