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Quantitative Data Engineer Jobs in Massachusetts

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 ...

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 ...

Senior Quantitative Data Analyst

Cambridge, MA · On-site

$94K - $118K/yr

As a Quantitative Data Analyst, you'll design & implement marketing programs for a start-up company ... Engineering Degree Strong interest in Marketing Strong Statistical Insights and Logical Thinking ...

Data Engineer

Woburn, MA · On-site

$88K - $111K/yr

Master's degree in Computer Science or related quantitative field preferred. * Between 2-4 years of data engineering, data development, analytics engineering, database development, or related ...

Data Engineer

Woburn, MA

$125K - $150K/yr

Master's degree in Computer Science or related quantitative field preferred. * Between 2-4 years of data engineering, data development, analytics engineering, database development, or related ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Job Summary : PeopleSERVE, Inc. is seeking a Data Engineer to enhance data availability and ... quantitative techniques and methods, statistics, econometrics - including probability, linear ...

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Syntricate Technologies is seeking a Senior Data Engineer to join their Asset Management Quant Research Engineering team. The role involves building a world-class data operation, focusing on data ...

Senior Data Engineer

Woburn, MA · On-site

$115K - $157K/yr

Master's degree in Computer Science and/or a related quantitative field preferred. * Between 4-7 years of data engineering or data platform experience required. * Strong proficiency in Structured ...

Principal, Data Engineer

Woburn, MA · On-site

$170K - $213K/yr

... quantitative field preferred. * Master's degree in a related field preferred. * A minimum of 8 ... data engineering or data platform development experience with at least 5 years as a senior or ...

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Quantitative Data Engineer information

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.

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 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 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.

What are popular job titles related to Quantitative Data Engineer jobs in Massachusetts?

For Quantitative Data Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Quantitative Data Engineer jobs in Massachusetts look for?

The top searched job categories for Quantitative Data Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Quantitative Data Engineer jobs?

Cities in Massachusetts with the most Quantitative Data Engineer job openings:

Quant Data Lead

Lazard, Inc.

Boston, MA • On-site

$200K - $240K/yr

Full-time

Re-posted 14 days ago


Job description


Lazard is one of the world's preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward - and for careers to take flight.
The Quantitative Equity group at Lazard Asset Management is undertaking a multi-year initiative to build a new, cloud-native quantitative data, research, and production ecosystem. This role will be central to designing and delivering that greenfield platform while also supporting and maintaining legacy data environments. The position combines hands-on engineering with architectural decision-making, team leadership, and close collaboration with quantitative researchers.
We'll trust you to:
  • Lead the design and evolution of an end-to-end quantitative data ecosystem, including ingestion, storage, modeling, access, and governance.
  • Develop high-quality pipelines and data products that support quantitative research, model development, production workflows, and analytics.
  • Define and implement data-modeling approaches suited to quantitative equity workflows.
  • Establish core data-governance practices across metadata, quality, lineage, and documentation.
  • Evaluate, onboard, and integrate datasets and vendors; design scalable processes for ingesting market, fundamental, and alternative data.
  • Contribute hands-on code, review designs, set engineering standards, and help recruit and mentor data engineers as the team grows.
  • Support existing production data systems during the build-out and migration to the new ecosystem.

You'll need to have:
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related 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, Databricks, Azure services or the like.
  • Strong proficiency in data modeling.
  • Hands-on experience building and operating data pipelines.
  • Familiarity with market, fundamental, benchmark, and security-master datasets used in quantitative equity.
  • Solid grounding in data governance and lineage.
  • Ability to operate in a startup-style environment, balancing architecture, hands-on coding, and rapid iteration.

What we offer:
We strive to enhance the total health and well-being of our employees through comprehensive, competitive benefits. Our goal is to offer a highly individualized employee experience that enables you to balance your commitments to career, family, and community. When you work for Lazard, you are working for an organization that cares about your unique talents and passions and will continue to invest in the development of your career.
We expect the base salary range for this role to be approximately $200,000 - $240,000 USD. Various factors contribute to determining the actual base compensation offered, including but not limited to the applicant's years of relevant experience, career tenure, qualifications, level of education attained, certifications or other professional licenses held, relevant skills for the role. Base salary is one component of Lazard's compensation package, which also includes comprehensive benefits and may include incentive compensation.
Does this sound like you?
Apply! We'll get in touch and let you know the next steps.
Representation at Lazard
Lazard is an intellectual capital business committed to delivering the best advice and solutions to clients. To achieve these objectives, we focus on attracting, developing and retaining the best talent. We believe that a workforce comprised of people who represent a wide array of backgrounds, experiences and perspectives creates a rich variety of thought that empowers us to challenge conventional wisdom, solve problems creatively and make better decisions.
Lazard was built on the premise that a multicultural firm can best serve a global clientele. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respecting and appreciating individual differences. Doing so has been core to our success for over 175 years. We are committed to sustaining an environment where every colleague is supported in their professional pursuits, can maximize their individual potential and contribute to our collective success.