ZipRecruiter

Log In

1

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

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers ...

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning ... quantitative field * Advanced working SQL knowledge and experience working with relational ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning ... quantitative field * Advanced working SQL knowledge and experience working with relational ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning ... quantitative field * Advanced working SQL knowledge and experience working with relational ...

Apexon

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

... a related quantitative field. b. Experience: Minimum of 3-5 years of professional "hands-on ... Data Engineering Competencies: Candidates must demonstrate a sophisticated understanding of the ...

Optiver

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Close collaboration with quant researchers and traders to unlock predictive insights and trading ... in data engineering, delivering robust pipelines at scale * Advanced Python skills and deep ...

Optiver

Lead Data Engineer

Chicago, IL · On-site

$200K/yr

Close collaboration with quant researchers and traders to unlock predictive insights and trading ... in data engineering, delivering robust pipelines at scale * Advanced Python skills and deep ...

1 point system

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field. 5 to 8+ years of experience within the field of data engineering or ...

DRW

Data Engineer, Cumberland/FICCO

Chicago, IL · On-site

$150K - $200K/yr

You will collaborate closely with traders, researchers, and quantitative developers to support ... Implement data quality and control processes * Incorporate new data from both internally derived ...

3B Staffing LLC

AWS Operations Data Engineer

Chicago, IL

$54.25 - $74.50/hr

Bachelor's degree in quantitative field (statistics, software engineering, business analytics, information systems, aviation management or related degree) * 5+ years of experience in data engineering ...

IMC

Quantitative Researcher - Data Curation

Chicago, IL · On-site

$250K - $300K/yr

Collaborate with software engineers and traders to translate research into production-grade models ... in a quantitative research or data-focused role in financial markets, ideally in a systematic ...

Next Step Systems

Quantitative Analyst

Northbrook, IL · On-site

Qualifications: - Advanced quantitative skills. - Proficiency in a high-level programming language (R or Python). - Experience working with large data sets. - Knowledge of Databases (MySQL, SQL, etc ...

IMC

Quantitative Developer - Python

Chicago, IL

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 ...

next page

Showing results 1-20

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 Jul 27, 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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% 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.
Senior Quantitative Data Analyst

Senior Quantitative Data Analyst

Cboe Global Markets

Chicago, IL

$88K - $111K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Job Description:

Building trusted markets - powered by our people

At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We providethe financialinfrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe deliverscutting-edgetrading, clearing and investment solutions to market participants around the world.

We'rebuilding meaningful ways to support professional and personal development while strengthening the trustwe'veearned as a global market leader. Our teams are empowered to share ideas, actively pursuethemand bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to "go for it" and equip our managers with the training to coach their teams to the next level. We strive toprovideemployeesa safe space to network, shareideasand create opportunities.

PLEASE NOTE: To support strong partnership and team connection, this role follows a four day in office work model.

Location Overview

Cboe HQislocated inthe historic Old Post Officedistrict,it's a landmark that blends classic architecture with modern amenities. The building features expansive spaces withhigh ceilingsand large windows, offering an abundance of natural light and panoramic views of thecityskyline and the Chicago River.

With its prime location in the heart of downtown, the OPO Building provides easy access to major transportation hubs, including Union Station and multiple CTA lines, making it convenient for commuters. The building is home to a variety of amenities, including restaurants,afitness center, and collaborative workspaces, creating a vibrant and dynamic work environment in one of Chicago's most iconic areas.

Role Overview:

We are seeking a Senior Quantitative Analyst with a strong product development mindset to analyze exchange datasets across equities, FX, options, and futures. This role focuses on identifying, structuring, and enhancing datasets for commercial use. The ideal candidate brings experience in quantitative finance, data analytics, and statistical modeling, with the ability to turn complex market data into practical client-ready products.

Key Responsibilities:

1. Exchange Data Analysis & Research

  • Analyze market microstructure across equities, FX, options, and futures to identify actionable insights.
  • Evaluate exchange and proprietary datasets to support trading, risk, and execution use cases.
  • Build liquidity metrics, order book analytics, and related measures to assess market behavior.

2. Data Product Development & Commercialization

  • Help design and package historical datasets for institutional clients with a focus on usability and scale.
  • Support product specifications and delivery approaches, including cloud distribution channels such as Snowflake and AWS Marketplace.
  • Ensure datasets are structured for quantitative research, execution analysis, and compliance needs.
  • Partner with engineering teams on data ingestion, normalization, and delivery workflows.

3. Advanced Data Analytics & Machine Learning

  • Apply statistical and machine learning techniques to identify patterns, anomalies, and predictive signals.
  • Use modeling, regression, and clustering methods to improve dataset quality and insight generation.

4. Data Distribution & Market Engagement

  • Work with internal teams and clients to understand data needs and commercial use cases.
  • Conduct competitive analysis of market data and alternative data offerings.
  • Support sales and marketing with analytics and product positioning for client discussions.

Required Qualifications & Skills:

Education & Experience

  • Bachelor's or Master's degree in Quantitative Finance, Computer Science, Data Science, Statistics, Engineering, or a related field.
  • 5-8+ years of experience in a quantitative, data science, research, or market data role at a trading firm, exchange, fintech, or data provider.

Technical & Analytical Skills

  • Programming skills in Python and SQL, with experience in data analysis and visualization tools.
  • Familiarity with machine learning techniques such as supervised learning, clustering, and anomaly detection.
  • Working knowledge of market data APIs, real-time data processing, or related infrastructure.
  • Exposure to cloud-based data platforms such as Snowflake, AWS, or GCP is a plus.

Preferred Qualifications:

  • Prior experience at a market data provider, exchange, or trading analytics firm.
  • Familiarity with cloud-based data processing (AWS, GCP, Azure) and distributed computing frameworks.
  • Ability to apply machine learning in finance, particularly in predictive modeling and trading signals.

#LI-CP2

Benefits and Perksof working for Cboe Global Markets

We value the total wellbeing of our people - including health, financial,personaland social wellness. We believe standard benefits like health insurance and fair pay area givenatany organization. Still, you shouldknowwe offer:

  • Fair and competitive salary and incentive compensation packages with an upside for overachievement

  • Generous paid time off, including vacation, personal days, sickdaysand annual community service days

  • Health, dental and vision benefits, including access to telemedicine and mental health services

  • 2:1 401(k) match, up to 8% matchimmediatelyupon hire

  • Discounted Employee Stock Purchase Plan

  • Tax Savings Accounts for health,dependentand transportation

  • Employee referral bonus program

  • Volunteer opportunities to help you give back to your communities

Some of our associates' favorite benefits andperksinclude:

  • Complimentary lunch,snacksand coffee in any Cboe office

  • Paid Tuitionassistanceand education opportunities

  • Generous charitable giving company match

  • Paid parental leave and fertility benefits

  • On-site gyms and discounts to other fitness centers

  • Paid Time Off

More About CboeGlobal Markets

We'rereimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one.We'reinvesting deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed.

We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion.We'rean engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes.

Learn more about life at Cboe onour websiteandLinkedIn.

Equal Employment Opportunity

We'reproud to be an equal opportunity employer do not discriminate against any employee or applicant for employment based on any legally protected characteristic, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, orveteran status. We are committed to fostering a workplace where all individuals are valued and respected.


This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Salary Ranges (applicable for US locations only)

At Cboe, we are committed to providing a competitive, transparent, and marketinformed total rewards program. The anticipated base salary range for this role is $116,875-$151,250, with actual compensation determined by jobrelated factors such as skills, relevant experience, education, internal alignment, and location.

This role may also be eligible for annual incentive compensation and, where applicable, participation in Cboe's long-term equity programs.

Additional information about Cboe's total rewards program, including benefits and other compensation components, can be found here: Total Rewards at CBOE.


Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.

Apply