ZipRecruiter

Log In

1

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

RELX Group plc

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

... and engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Master's degree or above in a quantitative or ...

RELX

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

... and engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Master's degree or above in a quantitative or ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

... and engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Master's degree or above in a quantitative or ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

... and engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Master's degree or above in a quantitative or ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

... and engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Master's degree or above in a quantitative or ...

LexisNexis

Senior Data Scientist II

Raleigh, NC

$115K - $192K/yr

... engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Education: Master's degree or above in a quantitative or ...

LexisNexis

Senior Data Scientist II

Raleigh, NC

$125K - $209K/yr

... engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Education: Master's degree or above in a quantitative or ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site

$125K - $209K/yr

... engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Education: Master's degree or above in a quantitative or ...

Grifols

Senior Analyst, Business Strategy

Durham, NC · On-site

Scope and structure problem statements, gather and analyze qualitative and quantitative data, and ... Bachelor's or Master's degree in Business, Economics, Engineering, or a related field. * 3-5 years ...

SAS

SDET / C

Cary, NC · On-site

$46.75 - $60.25/hr

Software Development Engineer in Test / C - Hybrid, Cary, North Carolina We're a leader in data and ... Bachelor's degree in Computer Science or related quantitative field. * Minimum of 5 years ...

previous page

Showing results 41-60

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 Sep 11, 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 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 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

Senior Data Scientist II

Raleigh, NC • On-site

RELX Group plc
Technology, Communication and Media • 10K+ employees
Learn more about RELX Group plcexternal

$104K - $174K/yr

Full-time

Re-posted 29 days ago

Job description

Job Description
About the Team:
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role:
Are you looking to develop your Data Scientist career?
Would you enjoy training more junior team members?
We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven product capabilities within the legal domain. This team is global AI platform team that builds AI products and ships AI features to production. The team works on cutting edge AI technology and extensively leverages latest AI tools/Features as part of product.
Responsibilities:
  • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
  • Define agentic workflows and reasoning strategies for multi-step legal tasks.
  • Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
  • Analyze large-scale legal datasets to extract insights and improve model performance.
  • Establish best practices for model evaluation, validation, and benchmarking.
  • Translate experimental results into clear product recommendations and business impact.
  • Collaborate with product, legal experts, and engineers to align solutions with user needs.
  • Mentor team members and provide technical leadership in data science and AI.
Requirements:
  • Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).
  • Strong experience in machine learning, NLP, and LLM-based modeling.
  • Strong experience designing and running experiments, including model evaluation and iteration.
  • Experience with generative AI techniques (e.g., prompt engineering, RAG).
  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.
  • Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.
  • Proficiency in Python and data analysis tools.
  • Strong foundation in statistics, modeling, and large-scale text processing.

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.

Apply