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

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 ...

Man Group

Senior Quantitative Developer

Boston, MA · Hybrid

We implement the systems that require the highest data throughput in Java. For storage, we rely ... engineering, preferably with a focus on quantitative applications * Expert knowledge of Python and ...

Arrowstreet Capital LP

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with ... As a Quantitative Developer, you will help build our next-generation Research data platform ...

Arrowstreetcapital

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with ... As a Quantitative Developer, you will help build our next-generation Research data platform ...

Arrowstreet Capital

Quantitative Developer

Boston, MA

$155K - $260K/yr

We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with ... As a Quantitative Developer, you will help build our next-generation Research data platform ...

SwiftCruit

Senior Quantitative Developer

Boston, MA · On-site

$170 - $325/hr

We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with ... As a Quantitative Developer, you will help build our next-generation Research data platform ...

New

Draper

Senior DevSecOps Engineer

Cambridge, MA · On-site

$115K - $158K/yr

... quantitative data or results. • Identifies project technical risks and develops and executes ... of software developers on projects. Qualifications : Required : • Proficiency in GitLab ...

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Showing results 21-40

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 8, 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 August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% 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.

Principal, Data Engineer

American Tower Corporation

Woburn, MA

Full-time

Medical, Retirement, PTO

Re-posted 29 days ago

American Tower rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

52nd of 97 rated telecommunications companies

Job description

The Team

We are seeking a Principal Data Engineer to join American Tower's Information Technology organization's Data & Analytics team. The team architects, builds, and optimizes cloud-native data foundations that enable analytics, artificial intelligence ("AI"), and enterprise-scale data products.
Day to day you will design and evolve the enterprise data platform, lead complex solution design, and embed governance enforcement through technical controls. As a Principal Data Engineer, you will set engineering standards, mentor engineers, and collaborate extensively with decentralized analytics teams across the Global Operations, Finance, and Sales departments to accelerate value delivery.

American Tower is a global digital infrastructure company serving customers through tower sites and other real estate solutions that support connectivity and opportunity, focused on achieving our vision of Building a More Connected World. Our success is rooted in the potential of our people and the power of local teams at our offices and sites across 25 countries.
We are one of the largest global Real Estate Investment Trusts (REITs) and a publicly traded (NYSE:AMT), Fortune 500 Company headquartered in Boston, Massachusetts. The next decade will be an exciting time as we evolve our infrastructure to meet tomorrow's needs and position our people to elevate their impact, their potential, and our shared success. Come grow your career with us!
For more information about how American Tower is building a more connected world, visit americantower.com 
American Tower is proud to be an equal opportunity employer and will not discriminate against an applicant or employee based on age, sex, sexual orientation, gender identity, race, color, creed, religion, national origin or ancestry, citizenship, marital status, familial status, disability, military or veteran status, genetic information, pregnancy, reproductive decisions, or any other characteristic protected under applicable law.

American Tower is committed to fair and equitable compensation practices. Placement within the salary range is based on a variety of factors, including relevant experience, skills, certifications, job level, and location. For U.S.-based candidates only, please see the base salary range for this position listed below. This position is also eligible for annual bonus, and annual equity award and participation in the Employee Stock Purchase Plan (ESPP).  For candidates outside of the U.S., salary and benefits are based upon local market practice.

American Tower also offers a comprehensive benefits package, which includes healthcare coverage, a 401(k) savings plan, paid time off, company holidays, sick leave, parental leave, and access to an Employee Assistance Program focused on mental and financial wellness, please click here to learn more.

What You Need to Succeed

  • Bachelor's degree required, with a concentration in Computer Science, Statistics, Applied Mathematics, or a related quantitative field preferred.
  • Master's degree in a related field preferred.
  • A minimum of 8 years of data engineering or data platform development experience with at least 5 years as a senior or principal-level technical leader required.
  • Expert-level proficiency in Structured Query Language, Python programming language, and large-scale processing with Apache Spark or PySpark.
  • Deep experience with major cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and with modern data platforms such as Databricks or Snowflake.
  • Strong understanding of streaming technologies such as Apache Kafka or Amazon Kinesis, orchestration tools such as Apache Airflow, and transformation frameworks such as Data Build Tool.
  • Mastery of data modeling, semantic modeling, and performance tuning across data warehouse, lakehouse, and streaming architectures.
  • Ability to implement technical governance (data quality, lineage, metadata, access management, and privacy controls) and establish engineering standards (CI/CD, infrastructure as code, and automated testing).
  • Ability to lead complex technical design, influence without authority, and mentor engineers to raise the technical bar.
  • Strong written and oral communication skills, including the ability to present ideas and suggestions clearly and effectively.
  • Ability to work with different functional groups and levels of employees to effectively and professionally achieve results.
  • Strong organizational skills; ability to accomplish multiple tasks within the agreed-upon timeframes through effective prioritization of duties and functions in a fast-paced environment.

What You Can Offer Us

  • Architect and evolve the enterprise data platform including ingestion, transformation, storage, orchestration, and serving layers for batch and streaming use cases.    
  • Design and implement end-to-end data pipelines, reusable frameworks, and enterprise data models (dimensional, data vault, domain-oriented) to power analytics, AI, and operational use cases.    
  • Define and operationalize the semantic data layer and embed governance enforcement through technical controls (data quality, validation, lineage, metadata, access).    
  • Establish engineering standards for coding, testing, version control, documentation, and continuous integration/continuous delivery ("CI/CD"); optimize cost, performance, and scalability using FinOps principles.    
  • Lead design reviews, root cause analyses, and incident responses; partner with the Data Science team to productionize models and enable real-time/batch inference.    
  • Collaborate with Data Products, IT, security, and architecture teams to deliver secure, resilient, and compliant data products with strong service level agreements.    
  • Evaluate emerging technologies, guide build-versus-buy decisions, and mentor engineers through code reviews, technical talks, and best practices.    
  • Engage decentralized analytics teams to share standards and reusable components while avoiding duplication of efforts.    
  • Other duties as assigned.    

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