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Quantitative Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Well

Data Engineer

Chapel Hill, NC · On-site

$115K - $145K/yr

Data Engineer Reporting To: Manager, Data Engineering Location: Chapel Hill, NC; Minneapolis, MN ... Degree and/or background in a related field such as Computer Science, Engineering or a quantitative ...

GRAIL

Data Engineer # 4885

Durham, NC · On-site

$110K - $132K/yr

Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, Engineering, Data Science, Life Sciences, or a related quantitative field. * 5+ years of relevant experience as a ...

GRAIL

Data Engineer #4885

Durham, NC · On-site +1

$110K - $132K/yr

Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, Engineering, Data Science, Life Sciences, or a related quantitative field. * 5+ years of relevant experience as a ...

GRAIL

Data Engineer #4885

Durham, NC · On-site +1

$110K - $132K/yr

Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, Engineering, Data Science, Life Sciences, or a related quantitative field. * 5+ years of relevant experience as a ...

Fidelity Investments

Senior Data Engineer - PL/SQL

Durham, NC · On-site

$102K - $139K/yr

Strong data modeling skills using Quantitative and Multi-Dimensional Analysis * In-depth knowledge ... A dedication to delivering high-quality software using DevOps, Continuous Integration, and ...

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

The Data Science & Risk team serves as a central quantitative hub, partnering with all investment ... Engineering, or Mathematics. * A demonstrated passion for investing and a strong desire to learn ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

The Data Science & Risk team serves as a central quantitative hub, partnering with all investment ... Engineering, or Mathematics. * A demonstrated passion for investing and a strong desire to learn ...

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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Raleigh, NC

Quantitative Data Engineer information

See Raleigh, NC salary details

$10.7K

$126K

$192.5K

How much do quantitative data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for quantitative data engineer in Raleigh, NC is $126,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $134,600.00 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 Raleigh, NC? For Quantitative Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Quantitative Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Quantitative Data Engineer jobs? Cities near Raleigh, NC with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you
Data Engineer

Data Engineer

Well

Chapel Hill, NC • On-site

$115K - $145K/yr

Full-time

Posted 5 days ago

Job description

Description
Company: The mission of Well (https://www.well.co/) is to transform healthcare through our unique impact on our members' health and happiness. We do this through our differentiated consumer experience and world-class data and analytics engine that drive engagement and behavior change. Our product - a consumer health engagement platform - integrates concierge services, behavioral health, telemedicine, care management and wellness services to drive sustained engagement, lower costs and improve the health of members. In addition to our product, we know our team makes us unique. We're a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees. We promote an employee- and member-centric culture with generous benefits, which you can learn more about here: https://www.well.co/careers.
Position Title: Data Engineer
Reporting To: Manager, Data Engineering
Location: Chapel Hill, NC; Minneapolis, MN; Boston, MA (Newton); New York, NY; Remote in approved locations
Salary: This role can be hired for at either the Data Engineer 1 ($115,000-$135,000) or Data Engineer 2 ($125,000-$145,000), depending on qualifications, plus bonus potential and benefits
Position Summary:
Well is seeking an experienced and self-motivated data engineer to help build the next generation of our data pipelines and data tooling. You will be creating new services, interfaces, data pipelines and cloud infrastructure to support the transfer, ingestion, monitoring and integration of large amounts of data: thousands of files, millions of events, and billions of rows in our data lake. We are in the process of scaling our data infrastructure and driving mission critical AI features for our products. Come join us, it's a pivotal time to be at Well and you'll make a real difference.
Responsibilities:
  • Contribute to the design and implementation of a robust ETL process, managing file ingestion from external parties to AWS, GCP, and BigQuery with a focus on scalability and reliability.
  • Configure, maintain, and extend core data platform and internal data administration tools.
  • Monitor ETL processes with internal and external partners, and respond to events and/or data processing errors.
  • Collaborate with a team of experienced software engineers, DevOps engineers and data scientists to create and deliver a seamless, tailored experience for data team stakeholders.
  • Achieve operational excellence in software development by participating in and leading code reviews, quality assurance, and production monitoring
  • Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines

Requirements
  • Experience in delivery of software utilizing Node.js, Python, SQL, and Terraform
  • 3+ years of software development experience using cloud providers (AWS and/or GCP)
  • Good understanding of general engineering principles, trade-offs, and systems design
  • Robust coding abilities and demonstrated ability to resolve complex technical challenges
  • Experience with test driven development, an understanding of microservices and big data patterns with insight into choices and tradeoffs involved
  • Degree and/or background in a related field such as Computer Science, Engineering or a quantitative discipline with strong demonstrated practical experience
  • Willingness to learn new patterns, languages, technologies and methodologies, aligning both with our Engineering culture and continuously evolving technology environment
  • Experience working with healthcare data such as insurance claims, electronic health records, and wearables a plus

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