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Quantitative Data Engineer Jobs (NOW HIRING)

Kpler

Quantitative Data Scientist

New York, NY · On-site

$70K - $100K/yr

The Quantitative Data Scientist will serve as a critical bridge between research and technology ... The ideal candidate combines strong software engineering skills with a solid mathematical and ...

Kpler

Quantitative Data Scientist

New York, NY

$70K - $100K/yr

The Quantitative Data Scientist will serve as a critical bridge between research and technology ... The ideal candidate combines strong software engineering skills with a solid mathematical and ...

Lazard, Inc.

Quantitative Data Analyst

Boston, MA · On-site

$90K - $150K/yr

The Advantage Quantitative Equity team is hiring a Quantitative Data Analyst to take ownership of ... developers to harden and operationalize your solutions * Maintain high-quality dataset ...

Lazard, Inc.

Quantitative Data Analyst

Boston, MA

$90K - $150K/yr

The Advantage Quantitative Equity team is hiring a Quantitative Data Analyst to take ownership of ... developers to harden and operationalize your solutions * Maintain high-quality dataset ...

Lazard, Inc.

Quant Data Lead

Boston, MA · On-site

$200K - $240K/yr

... quantitative field. * 8-12+ years of experience in data engineering, data architecture, or ... quantitative data platforms. * 5+ years of experience using technologies such as Snowflake ...

Lazard, Inc.

Quant Data Lead

Boston, MA

$200K - $240K/yr

... quantitative field. * 8-12+ years of experience in data engineering, data architecture, or ... quantitative data platforms. * 5+ years of experience using technologies such as Snowflake ...

Neighbor

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer * Expert-level ...

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Quantitative Data Engineer information

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$11K

$129.7K

$198K

How much do quantitative data engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for quantitative data engineer in the United States is $129,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $138,500.00 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.
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Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.

Quantitative Data Engineer

Canyon Associates

Parsippany Troy Hills, NJ • On-site

Other

Posted 5 days ago

New

Job description

Financial equity data experience in Bloomberg, Compustat, Thomson Reuters, CapIQ data

2+ years experience coding with Python, C++, Julia

Large complex datasets experience

Masters needed, PHD preferred (CS, Eng, Statistics)

Apply