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Quantitative Data Engineer Jobs in Naperville, IL

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 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 ...

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 ...

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 ...

Old Mission

Quantitative Researcher (ETFs)

Chicago, IL · On-site

$170K - $300K/yr

Reverse engineer how the rest of the world behaves in different market environments. * Develop ... Explore trading ideas by analyzing market data and market microstructure for patterns.

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 ...

3Red Partners

Quantitative Developer

Chicago, IL · On-site

$150K - $250K/yr

The Quantitative Developer will have the opportunity to work in one of our offices focusing on ... Mathematics, Statistics, Physics, Computer Science, Data Science, etc.) with more than 2 years of ...

Point72

Cubist Quantitative Researcher

Chicago, IL · On-site

S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or comparable language) and working ...

IMC

Quantitative Researcher - Futures

Chicago, IL · On-site

$250K - $300K/yr

... data. * Collaborate with developers, traders, and fellow researchers to design and implement a ... Several years (5+ Years) of quantitative research experience, preferably in systematic trading ...

IMC

Quantitative Researcher - Futures

Chicago, IL

... data. * Collaborate with developers, traders, and fellow researchers to design and implement a ... Several years (5+ Years) of quantitative research experience, preferably in systematic trading ...

3Red Partners

Quantitative Developer

Chicago, IL · On-site

$150K - $250K/yr

The Quantitative Developer will have the opportunity to work in one of our offices focusing on ... Mathematics, Statistics, Physics, Computer Science, Data Science, etc.) with more than 2 years of ...

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Showing results 21-40

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

Quantitative Data Engineer information

See Naperville, IL salary details

$11K

$129.5K

$197.7K

How much do quantitative data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quantitative data engineer in Naperville, IL is $129,473.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $138,300.00 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 Naperville, IL? For Quantitative Data Engineer jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Naperville, IL look for? The top searched job categories for Quantitative Data Engineer jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Quantitative Data Engineer jobs? Cities near Naperville, IL with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Naperville, IL as of June 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,473 per year, or $62.2 per hour.

Quantitative Developer

Point72

Chicago, IL • On-site

Full-time

Re-posted 22 days ago

Job description

About Cubist:

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role:

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact.

Responsibilities:

  • Design and develop software for strategy research and trading.
  • Build and improve tools for data acquisition, processing, and visualization.
  • Work on the execution/order management system, live dashboards, and P&L reconciliation tools.
  • Manage the team's CI/CD pipeline, job running infrastructure, and other tech components.
  • Ensure robustness and efficiency of the team's systems. Be ready to troubleshoot and correct any issues.
  • Collaborate with the portfolio manager, quant researchers, and traders.

Requirements:

  • Undergraduate or graduate degree in Computer Science.
  • 2+ years of experience developing research and trading infrastructure at a financial institution, or demonstrated excellent skills required for the role.
  • Prior experience with execution/order management systems, real-time data servers, and visualization is a plus.
  • Solid understanding of Linux OS-system components, process management, shell scripting.
  • Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management.
  • Knowledge of SQL, JavaScript, Apache airflow.
  • Strong communication skills.
  • Willingness to take ownership of his/her work.
  • Commitment to the highest ethical standards.

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