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Quantitative Data Engineer Jobs in Chicago, IL (NOW HIRING)

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... Strong production experience in Python, including data analysis workflows (pandas, polars, or ...

Point72

Quantitative Developer

Chicago, IL · On-site

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This ... Build and improve tools for data acquisition, processing, and visualization. * Work on the ...

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... Strong production experience in Python, including data analysis workflows (pandas, polars, or ...

Point72

Quantitative Developer

Chicago, IL

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This ... Build and improve tools for data acquisition, processing, and visualization. * Work on the ...

IMC B.V.

Quantitative Developer - Python

Chicago, IL · On-site

$200 - $225/hr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... Strong production experience in Python, including data analysis workflows (pandas, polars, or ...

Anson McCade

Quantitative Researcher

Chicago, IL · On-site

$200K - $400K/yr

The firm has a flat, collaborative and open environment, where Quantitative Researchers carry out full-stack research from preprocessing data and feature engineering through to strategy ...

Edgehog Trading

Quantitative Researcher

Chicago, IL · On-site

Design, backtest, and iterate on quantitative trading models from ideation through production ... or applied ML / data science * Strong programming skills in Python; comfort with numerical ...

Akuna Capital

Software Engineer - Data Engineering

Chicago, IL · On-site

$118K - $141K/yr

They are seeking a Software Engineer for their Data Engineering team to design and maintain systems ... Quant, Technology & Business Operations teams throughout the firm to identify how data is produced ...

Corgi Insurance

Quantitative Associate

Chicago, IL · On-site

$200K - $350K/yr

Partner with engineering and product teams to implement the results of your findings. * Support the ... Familiarity with modern data infrastructure and cloud-based analytics platforms. * Advanced degree ...

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Showing results 21-40

All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Chicago, IL

Quantitative Data Engineer information

See Chicago, IL salary details

$11.3K

$133.6K

$204K

How much do quantitative data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quantitative data engineer in Chicago, IL is $133,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $142,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a quantitative data engineer, and why are they important?

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.
What are popular job titles related to Quantitative Data Engineer jobs in Chicago, IL? For Quantitative Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Chicago, IL look for? The top searched job categories for Quantitative Data Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Quantitative Data Engineer jobs? Cities near Chicago, IL with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $133,575 per year, or $64.2 per hour.

Quantitative Developer - Python

IMC

Chicago, IL • On-site

$200K - $225K/yr

Other

PTO

Re-posted 11 days ago

Job description

IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You will build the systems that turn quantitative insights into measurable edge, with direct visibility into how your work creates impact.
Your Core Responsibilities
  • Build and maintain systems that span research and production, enabling rapid iteration from idea to production
  • Design high-fidelity simulation and backtesting infrastructure that models latency, microstructure, and real-world constraints
  • Define, compute, and curate features across instruments, regimes, and time horizons
  • Own feature and signal pipelines, ensuring clean, consistent delivery from research to execution
  • Contribute to strategy optimization, balancing expected performance with real-world constraints
  • Debug issues end-to-end across research and execution

Your Skills and Experience
  • 3-7 years of experience in quantitative software development, preferably at a trading firm or systematic fund
  • Strong production experience in Python, including data analysis workflows (pandas, polars, or similar)
  • Strong grounding in probability, statistics, and time series analysis; familiarity with backtesting and simulation frameworks
  • Solid understanding of ML concepts as applied to systematic strategies, from research through production
  • Experience with low-latency systems is valuable
  • Ability to work fluidly across research and engineering teams

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$200,000-$225,000 USD
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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