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Quantitative Data Engineer Jobs (NOW HIRING)

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 ...

Neighbor

Data Engineer

Lehi, UT

$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 ...

Neighbor

Data Engineer

Lehi, UT

$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 ...

GCS

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

We are seeking an experienced Data Engineer to design, build, and optimize scalable data platforms ... quantitative field.

Point72

Data Engineer

New York, NY

$125K - $150K/yr

Role: We are looking for a quantitative software developer to join our team and contribute to ... Improve data ETL pipeline and build tools to analyze new data efficiently. * Build technologies to ...

Point72

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Role: We are looking for a quantitative software developer to join our team and contribute to ... Improve data ETL pipeline and build tools to analyze new data efficiently. * Build technologies to ...

Point72

Trader/Quant Analyst

Stamford, NY · On-site

Strong analytical and quantitative data skills; proficiency in Excel and at least one programming language (Python, R, VBA) is required. * Excellent communication skills and ability to work in a fast ...

Quanta Search

Data Engineer

Manhattan, NY

$126K - $151K/yr

This division offers an array of quantitative investment fund products to its clients. The are ... Role: Data Engineers are responsible for the data infrastructure. The build systems designed for ...

Point72

Trader/Quant Analyst

Stamford, NY

Strong analytical and quantitative data skills; proficiency in Excel and at least one programming language (Python, R, VBA) is required. * Excellent communication skills and ability to work in a fast ...

Recruit Professional Services

Data Engineer

Bedminster, NJ · On-site

$116K - $140K/yr

Bachelor's Degree in computer science, data science, software engineering, information systems, or related quantitative field. * Minimum 4 years of experience working as a Python Developer, Solutions ...

Alphataraxia

Data Engineer II

Washington, DC · On-site +1

$150K - $170K/yr

Company Alphataraxia Management (ATX) is a fast-growing quantitative investment management group ... The Data Engineer II will play an important role in expanding our data engineering capabilities.

WinMax Systems Corporation

Data Engineer

Santa Clara, CA

$134K - $161K/yr

The engineer must not only be comfortable with large data sets, but also have an ability to ... Bachelor's or Master's degree (CS or quantitative emphasis preferred, some academic experience with ...

The Scotts Company LLC

Quantitative Analyst

Columbus, OH · On-site

$77K - $90K/yr

... data. While grounded in statistical programming (R) and rigorous research methodologies, the ... Quantitative Research & Statistical Analysis: Lead the design and execution of consumer surveys (e ...

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Quantitative Data Engineer information

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$198K

How much do quantitative data engineer jobs pay per year?

As of Jun 25, 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 is an example of quantitative?

A quantitative example involves numerical data that can be measured and analyzed statistically. In a Quantitative Data Engineer role, this might include metrics like transaction volumes, data throughput, or statistical summaries used to build data pipelines and models.

What is quantitative vs qualitative?

Quantitative data refers to numerical information that can be measured and analyzed statistically, such as sales figures or sensor readings. Qualitative data involves descriptive, non-numerical information like opinions, interviews, or observations. In data engineering, understanding both types helps in designing systems that process and analyze diverse data sources effectively.

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 does quantitative mean?

In the context of a Quantitative Data Engineer role, 'quantitative' refers to working with numerical data and statistical methods to analyze and model information. This involves skills in mathematics, programming, and data analysis tools to develop algorithms and insights from large datasets.

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 are the synonyms of quantitative?

Synonyms of quantitative include numerical, measurable, and statistical. In a data engineering context, these terms relate to data that can be quantified and analyzed using tools like SQL, Python, or R, often involving numerical datasets and statistical methods.

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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What job categories do people searching Quantitative Data Engineer jobs look for? The top searched job categories for Quantitative Data Engineer jobs are:
Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 98% Full Time, and 1% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.
Quantitative Analyst-Mandarin speaking required

Quantitative Analyst-Mandarin speaking required

Premium Technology

New York, NY

Full-time

Posted 11 days ago

Job description

Company Description

A Major International Bank located in Midtown, Manhattan is seek an Associate in Liquidity Risk-Quantitative Analyst to support the department.

Job Description

Responsibilities:

  • Support, manage and organize electronic data in core banking systems.
  • Responsible for conducting quantitative data analyses and maintaining a database for risk management purposes.
  • Data analysis and reporting.

 

Qualifications:

  • Minimum of at least 2 years of direct experience in relational database management systems (eg Microsoft SQL Servers), database design, programming and implementation using SQL or other ODBC-compliant tools.
  • Master's Degree in Computer science is highly preferred.
  • Working knowledge of data analysis and statistical analysis in the financial industry. R. SAS, VBA programming experience is a plus.
  • Mandarin Chinese is required due to the nature of the position
Qualifications

 

Additional Information

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