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Quantitative Data Engineer Jobs in New York (NOW HIRING)

Senior Quantitative Data Engineer

New York, NY ยท On-site

$200K - $220K/yr

Partner closely with quants, data scientists, and fellow engineers to achieve sub-minute SLAs, shape firm-wide architecture, and mentor peers. We believe diverse backgrounds and voices spark better ...

Partner closely with quants, data scientists, and fellow engineers to achieve sub-minute SLAs, shape firm-wide architecture, and mentor peers. We believe diverse backgrounds and voices spark better ...

Data is at the heart of our business, and we see the ability to embed data-driven insight into the fabric of daily management as a core driver of competitive advantage for the firm. As a quantitative ...

Data is at the heart of our business, and we see the ability to embed data-driven insight into the fabric of daily management as a core driver of competitive advantage for the firm. As a quantitative ...

Data Engineer

New York, NY ยท 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 ...

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 ...

Data Engineer

Manhattan, NY ยท On-site

$65 - $72/hr

Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration ... Prepare quantitative and qualitative data for easy discovery by LLMs. b. Design and manage vector ...

Senior Data Engineer

New York, NY ยท On-site

$150K - $200K/yr

Working closely with quantitative researchers, data platform engineers, and infrastructure teams, this person will ensure that market, reference, and alternative data is accurate, reliable, and ...

Senior Data Engineer

Stamford, CT ยท On-site

$150K - $200K/yr

Working closely with quantitative researchers, data platform engineers, and infrastructure teams, this person will ensure that market, reference, and alternative data is accurate, reliable, and ...

Senior Data Engineer

Stamford, CT ยท On-site

$150K - $200K/yr

Working closely with quantitative researchers, data platform engineers, and infrastructure teams, this person will ensure that market, reference, and alternative data is accurate, reliable, and ...

Data Engineer

East Rutherford, NJ

$116K - $140K/yr

Conduct database feature engineering to support ongoing quantitative research * Work with developers to create and deploy systems for anomaly detection. * Interface with data scientists, software ...

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Showing results 1-20

Quantitative Data Engineer information

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 New York? For Quantitative Data Engineer jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Quantitative Data Engineer jobs? Cities in New York with the most Quantitative Data Engineer job openings:

Quantitative Data Engineer

Canyon Associates

Parsippany Troy Hills, NJ โ€ข On-site

Other

Posted 29 days ago


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)