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Quantitative Data Engineer Jobs in New York (NOW HIRING)

Actively

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

They are seeking a Data Engineer to own data and analytics end-to-end, architecting internal ... or quant research • Bonus: experience working with GTM teams or building analytics for sales ...

The Cypress Group

Lead Data Engineer

New York, NY · Remote

$200K - $250K/yr

You'll work closely with software engineers, data scientists, quantitative analysts, and business stakeholders to build highly reliable systems focused on performance, transparency, observability ...

Citigroup, Inc.

Lead Data Engineer - Vice President

Jersey City, NJ · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree, university degree, or equivalent professional experience in Computer Science, Data Engineering, Information Systems, or a quantitative field. * 6 or more years of professional ...

Citi

Lead Data Engineer - Vice President

Jersey City, NJ · Hybrid

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree, university degree, or equivalent professional experience in Computer Science, Data Engineering, Information Systems, or a quantitative field. * 6 or more years of professional ...

New

Jerseydigs

Lead Data Engineer - Vice President

Jersey City, NJ · On-site

$142 - $213/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree, university degree, or equivalent professional experience in Computer Science, Data Engineering, Information Systems, or a quantitative field. * 6 or more years of professional ...

Quant Blueprint LLC

Quantitative Developer

Manhattan, NY · On-site

$130 - $160/hr

... engineering advance quantitative financial computer modeling systems to aid in analysis and ... Performing research to acquire historical and production data sources needed to build investment ...

Schonfeld

AI Data Engineer

New York, NY

$125K - $150K/yr

You will work at the intersection of data engineering and AI, ensuring that high-quality, timely ... Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income. Our Culture At ...

Schonfeld

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

You will work at the intersection of data engineering and AI, ensuring that high-quality, timely ... Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income. Our Culture At ...

New York Blood Center

Senior Data Engineer

Rye, NY · On-site

$112K - $152K/yr

Required : • Bachelor's degree in computer science, Data Science, Information Technology, or a related quantitative field. • 6+ years of progressive experience in data engineering with ...

Ostium

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Best Practices - Help engineers who are responsible for using the pipeline to understand how ... Humble and Willing to Learn - Be willing to learn from quants, engineers, the ops team, and ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY · On-site

$127K - $137K/yr

Bachelor's degree in computer science, Data Science, Information Technology, or a related quantitative field. Experience: * 6+ years of progressive experience in data engineering with demonstrated ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY · On-site

$127K - $137K/yr

Bachelor's degree in computer science, Data Science, Information Technology, or a related quantitative field. Experience: * 6+ years of progressive experience in data engineering with demonstrated ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY · On-site

$112K - $152K/yr

Bachelor's degree in computer science, Data Science, Information Technology, or a related quantitative field. Experience: * 6+ years of progressive experience in data engineering with demonstrated ...

Citigroup Inc.

Lead Data Engineer - Vice President

Jersey City, NJ · On-site

$142.32 - $213.48/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree, university degree, or equivalent professional experience in Computer Science, Data Engineering, Information Systems, or a quantitative field. * 6 or more years of professional ...

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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 job categories do people searching Quantitative Data Engineer jobs in New York look for?

The top searched job categories for Quantitative Data Engineer jobs in New York 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 jobs near you

Data Engineer

Actively

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Actively AI is defining a new category: Intelligence-Led Revenue. They are seeking a Data Engineer to own data and analytics end-to-end, architecting internal systems to learn from customer interactions and product signals, and making insights actionable across the business.
Responsibilities:
• Own internal metrics, dashboards, and reporting across product, GTM, and usage
• Build systems to track, analyze, and interpret key signals across the customer and product journey
• Help design and implement internal “sensors” to uncover buried insights
• Translate messy, real-world data into clean, structured inputs for our reasoning agents
• Define and evolve our analytics stack — dbt, Snowflake, Mode, etc. — with an eye toward speed and clarity
• Work cross-functionally with founders, engineering, and forward-deployed teams to prioritize and act on what matters
Qualifications:
Required:
• Own internal metrics, dashboards, and reporting across product, GTM, and usage
• Build systems to track, analyze, and interpret key signals across the customer and product journey
• Help design and implement internal 'sensors' to uncover buried insights
• Translate messy, real-world data into clean, structured inputs for our reasoning agents
• Define and evolve our analytics stack — dbt, Snowflake, Mode, etc. — with an eye toward speed and clarity
• Work cross-functionally with founders, engineering, and forward-deployed teams to prioritize and act on what matters
• A builder — you like owning problems end-to-end and working from first principles
• Comfortable with both SQL and Python, and fluent in the modern data stack
• Analytical by instinct — you’ve spent enough time with data to develop intuition and taste
Preferred:
• Bonus: background in math, physics, or quant research
• Bonus: experience working with GTM teams or building analytics for sales/product workflows
Company:
Actively transforms revenue teams from human-led execution to Intelligence-Led Revenue — a new way of running revenue where AI agents do the work humans cannot sustain at scale. Founded in 2022, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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