ZipRecruiter

Log In

1

Quantitative Data Engineer Jobs in Boston, MA (NOW HIRING)

Lazard, Inc.

Quantitative Data Analyst

Boston, MA · On-site

$90K - $150K/yr

The Advantage Quantitative Equity team is hiring a Quantitative Data Analyst to take ownership of ... developers to harden and operationalize your solutions * Maintain high-quality dataset ...

Lazard, Inc.

Quantitative Data Analyst

Boston, MA

$90K - $150K/yr

The Advantage Quantitative Equity team is hiring a Quantitative Data Analyst to take ownership of ... developers to harden and operationalize your solutions * Maintain high-quality dataset ...

Lazard, Inc.

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 ...

Lazard, Inc.

Quant Data Lead

Boston, MA

$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 ...

HubAnalytics

Senior Quantitative Data Analyst

Cambridge, MA

$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 ...

Beghou Consulting

Data Engineer

Boston, MA

$124K - $149K/yr

Bachelor's or advanced degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field. * 3+ years of professional data engineering experience. * Strong programming ...

MFS

Sr. Data Engineer

Boston, MA · Hybrid

$95K - $137K/yr

Partner with Quantitative Trading Strategists to improve current platform capabilities and ... engineering. Knowledge of data science or statistics is beneficial. * Minimum of three to five ...

MFS Investment Management

Sr. Data Engineer

Boston, MA · On-site

$95K - $137K/yr

Partner with Quantitative Trading Strategists to improve current platform capabilities and ... engineering. Knowledge of data science or statistics is beneficial. * Minimum of three to five ...

American Tower

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 ...

Stellix

Senior Data Engineer III

Foxboro, MA · On-site

$112K - $152K/yr

Bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field; master's degree preferred. Experience : 10+ years of Data Engineering ...

next page

Showing results 1-20

All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Boston, MA

Quantitative Data Engineer information

See Boston, MA salary details

$11.9K

$140.9K

$215.1K

How much do quantitative data engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for quantitative data engineer in Boston, MA is $140,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,600.00 and $150,500.00 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.

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 Boston, MA? For Quantitative Data Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Boston, MA look for? The top searched job categories for Quantitative Data Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Quantitative Data Engineer jobs? Cities near Boston, MA with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $140,869 per year, or $67.7 per hour.

Quantitative Data Analyst

Lazard, Inc.

Boston, MA • On-site

$90K - $150K/yr

Full-time

Re-posted 18 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, collaborativecommunity 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 Advantage Quantitative Equity team is hiring a Quantitative Data Analyst to take ownership of the quality, reliability, and usability of the quantitative datasets that power our research and production investment workflows. These datasets are the direct inputs to factor models, risk models, alpha signals, backtests, and live portfolio construction - data quality here has real investment consequences.
We'll trust you to:
  • Become a domain owner for key quant datasets (e.g., market data, fundamentals, corporate actions, identifiers/reference data) and develop a detailed understanding of their structure, lineage, known quirks, and intended use in research and production workflows
  • Onboard new datasets end-to-end: profiling, schema/coverage validation, identifier mapping, cross-source reconciliation, documentation, and support for productionization
  • Build and maintain automated data validation and monitoring processes (completeness, timeliness, duplication, outliers, stale/missing series, mapping breaks), along with clear quality metrics and dashboards - implemented in code, not spreadsheets
  • Investigate data anomalies impacting research or production output: triage, isolate root cause, quantify impact, coordinate remediation, and write the code that prevents recurrence
  • Write Python scripts, pipelines, and utilities (using pandas, NumPy, and related libraries) to automate validation, onboarding, reconciliation, and monitoring workflows; collaborate with quant developers to harden and operationalize your solutions
  • Maintain high-quality dataset documentation and operational runbooks (definitions, assumptions, known quirks, troubleshooting guidance), improving consistency and conventions across the data ecosystem
  • Maintain datasets over time through routine checks, backfills, and improvements as vendor definitions, schemas, and business requirements evolve
  • Engage constructively with internal teams and external vendors when addressing data issues or evaluating new sources

You'll need to have:
  • Bachelor's degree in a quantitative discipline (e.g., Statistics, Mathematics, Economics, Finance, Computer Science) or equivalent practical experience
  • Hands-on experience working with quantitative financial datasets - e.g., prices/returns, fundamentals, corporate actions, security master / reference data, factor data, risk model inputs - from vendors such as Bloomberg, Refinitiv/LSEG, Compustat, FactSet, or ICE
  • Solid understanding of common time-series data quality challenges in a systematic investment context: staleness, point-in-time correctness, survivorship bias, partial trading days, identifier changes (CUSIP/ISIN/ticker), and corporate action adjustments
  • Experience working with vendor datasets; comfort reconciling across sources and managing schema/definition changes over time
  • Strong SQL skills: ability to write and optimize queries to validate, reconcile, and investigate issues across large analytical datasets
  • Strong Python skills: able to write clean, maintainable scripts, pipelines, and reusable utilities independently; comfortable with pandas, NumPy, file I/O, and scheduling
  • Strong analytical and debugging mindset; able to diagnose data inconsistencies systematically and drive fixes through to completion
  • Strong communication and collaboration skills; effective in small, close-knit teams with direct stakeholder interaction

It's a bonus to have:
  • Experience at a quantitative asset manager, systematic hedge fund, or similar investment data environment
  • Experience supporting production data pipelines and incident workflows (monitoring, alerts, runbooks, operational readiness)
  • Familiarity with modern data warehouses (e.g., Snowflake) and/or analytical engines (e.g., DuckDB, Polars)
  • Cloud experience, preferably Azure

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 care 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 $90,000 - $150,000 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, and 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.

Apply