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Quantitative Data Engineer Jobs in Providence, RI

Tetra Tech

GIS Analyst / Modeler

South Kingstown, RI · On-site +1

Our industry-leading experts in engineering and consulting are committed to driving positive change ... Perform QA/QC and data cleaning for geospatial, tabular, and model input/output data to ensure ...

Tetra Tech

GIS Analyst / Modeler

South Kingstown, RI · On-site +1

Our industry-leading experts in engineering and consulting are committed to driving positive change ... Perform QA/QC and data cleaning for geospatial, tabular, and model input/output data to ensure ...

Cumming Group

Senior Scheduler

West Greenwich, RI · On-site

... quantitative). * Knowledge of 4D/5D modeling. * Experience with forensic scheduling analysis of construction or engineering projects independently. * Experience with estimate validation and ...

Cumming Group

Senior Scheduler

West Greenwich, RI · On-site

... quantitative). * Knowledge of 4D/5D modeling. * Experience with forensic scheduling analysis of construction or engineering projects independently. * Experience with estimate validation and ...

SmartIPlace

Senior UX Designer

Smithfield, RI · On-site

... developer partners or executives * A foundation of development knowledge, both web and mobile ... Distilling qualitative and quantitative feedback to unearth recurring themes and promote data ...

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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Providence, RI

Quantitative Data Engineer information

See Providence, RI salary details

$11.1K

$131K

$200K

How much do quantitative data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for quantitative data engineer in Providence, RI is $130,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $139,900.00 per year, depending on experience, location, and employer.

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 Providence, RI?

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

What job categories do people searching Quantitative Data Engineer jobs in Providence, RI look for?

The top searched job categories for Quantitative Data Engineer jobs in Providence, RI are:

Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Providence, RI as of June 2026, with employment types broken down into 1% Internship, 98% Full Time, and 1% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,993 per year, or $63 per hour.

Postdoctoral Research Associate (Social Epidemiology Research Group) - PH 312

Brown University

Providence, RI • On-site

Full-time

Re-posted 29 days ago

Brown University rating

8.1

Company rating: 8.1 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

170th of 630 rated colleges and universities

Job description

Description
The Social Epidemiology Research Group at the Brown University School of Public Health is seeking a full-time post-doctoral research associate. Led by Dr. Diana Grigsby-Toussaint, Associate Professor of Behavioral and Social Sciences and Epidemiology, the lab seeks to investigate socio-environmental influences on sleep, diet, and physical activity among vulnerable populations domestically and internationally.
The selected candidate will be expected to actively contribute to an NIH-funded R01 exploring green space exposure on the sleep and mental health of children. In addition, the candidate will lead research projects that explore the health impacts of the social and built environment. Specific activities will include the development of spatio-temporal environmental models for exposures such as green spaces and air pollution, and various health outcomes.
Qualifications
Required and preferred qualifications include PhD-level training in epidemiology, geography, or other population-based science, strong skills in quantitative analysis and less than 2 years of prior post-doctoral experience. In addition, programming experience with ArcGIS, R, STATA, and SAS; analysis of large population-based data sets is required.
Application Instructions
Candidates should apply through Interfolio with a curriculum vitae and 3 letters of recommendation.
Salary: Salary is competitive and commensurate with experience. Including a competitive full-time benefits package.
Start Date: February 1, 2023.
Application Deadline: This position will remain open until a qualified applicant is found.
Equal Employment Opportunity Statement
Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.

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