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Quantitative Data Engineer Jobs (NOW HIRING)

Our client, aglobalAsset Management firm, is looking for meticulous hands-on Quant Data Engineer provide historical and real-time bar data to Quant PMs for research and live strategies. Engineer will ...

Our client, a global Asset Management firm, is looking for meticulous hands-on Quant Data Engineer provide historical and real-time bar data to Quant PMs for research and live strategies. Engineer ...

Data Engineer

Manhattan, NY · On-site

$150K - $200K/yr

Data Engineer New York, NY Massar Capital Management, LP ("Massar") is an alternative investment ... a quantitative, data-driven process. We build proprietary technology and develop statistical ...

Data Engineer

Manhattan, NY · On-site

$150K - $200K/yr

... a quantitative, data-driven process. We build proprietary technology and develop statistical ... Additionally, our developers support live trading by maintaining pipeline operations and enhance ...

Data Engineer

New York, NY · On-site

$150K - $200K/yr

... a quantitative, data-driven process. We build proprietary technology and develop statistical ... Additionally, our developers support live trading by maintaining pipeline operations and enhance ...

Data Engineer

Monmouth Junction, NJ · On-site

$117K - $140K/yr

Data Engineer Responsible for design, development, testing, and maintenance of data architectures ... Highly creative in order to determine the best solutions for real-world problems with quantitative ...

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Quantitative Analytics/Big Data Developer/Data Engineer Senior Freddie Mac's Single-Family Division is currently seeking a Quantitative Analytics/Big Data Developer/Data Engineer Senior to implement ...

Data Engineer

Mountain View, CA · On-site

$136K - $163K/yr

AutoRoboto is seeking a Data Engineer to join their talented engineering team. The role involves ... Required : • Bachelor's degree or equivalent experience in quantitative field (Statistics ...

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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 Jun 4, 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.

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 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.

More about Quantitative Data Engineer jobs
What cities are hiring for Quantitative Data Engineer jobs? Cities with the most Quantitative Data Engineer job openings:
What states have the most Quantitative Data Engineer jobs? States with the most job openings for Quantitative Data Engineer jobs include:
Infographic showing various Quantitative Data Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,666 per year, or $62.3 per hour.

Other

Posted 9 days ago


Job description

Our client, aglobalAsset Management firm, is looking for meticulous hands-on Quant Data Engineer provide historical and real-time bar data to Quant PMs for research and live strategies. Engineer will provide the Quant Data API for historical and real-time Bars data used to analyze research data and for live trading. Candidate will work closely with the research PM to provide the data required for a given Strategy including validation of the data quality.
Requirements:
  • Past experience building Python data APIs
  • Experience writing data validations in Python
  • Systematic experience required
  • Keen sense of finding data issues.
  • Experience with one of the following required: Futures, FX or options market data
  • Past experience working with time series bars and real-time data.