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Quantitative Data Engineer Jobs in Atlanta, GA (NOW HIRING)

STEMtech

Sr. Data Scientist

Atlanta, GA · On-site

Coordinates with SMEs, translators, IT and data engineers to deliver holistic analytical solutions ... quantitative discipline (e.g. advanced statistical analysis) * Experience leading a team of data ...

Monitise

AI Engineer

Alpharetta, GA

Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering, Cybersecurity, or a related quantitative field or equivalent combination of education, related experience and ...

NLB Services

Data Analyst

Atlanta, GA · On-site

... quantitative field preferred Intermediate SQL knowledge familiar with aggregating, joins ... Engineering, Computer Science, Information Science, Business/Management, Mathematics/Statistics ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Lead independent quantitative research initiatives, leveraging multiple data sources to generate innovative insights and identify new business opportunities. * Partner with product, engineering ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Lead independent quantitative research initiatives, leveraging multiple data sources to generate innovative insights and identify new business opportunities. * Partner with product, engineering ...

Shepherd Center

User Experience Researcher

Atlanta, GA · On-site

$75 - $105/hr

Coordinate/lead quantitative and qualitative data collection for individual projects.* Conduct ... Two years research, engineering, or clinical experience in industry, educational, or health care ...

CharterUP

Data Analyst

Atlanta, GA

$70K - $75K/yr

Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering * 1+ years industry experience as Data Analyst

Patientco

Data Scientist

Atlanta, GA · On-site

... Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be ...

Crew Career Center

Data Scientist

Atlanta, GA · On-site

... Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be ...

Hertz

Sr Data Scientist

Atlanta, GA · On-site

$94.50 - $115.50/hr

You will work closely with data engineers, analysts, software developers and product managers ... quantitative disciplines such as statistics, mathematics, physics or engineering. What You'll Get

Datavault AI Inc.

Data Scientist

Atlanta, GA · On-site

$110 - $170/hr

Partner with engineering to design prompt experiments, agent variants, and structured-output schema ... quantitative success metrics. * Communicate findings through written reports, dashboards, and ...

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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Atlanta, GA

Quantitative Data Engineer information

See Atlanta, GA salary details

$10.6K

$124.7K

$190.4K

How much do quantitative data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for quantitative data engineer in Atlanta, GA is $124,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $133,200.00 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 Atlanta, GA?

For Quantitative Data Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Quantitative Data Engineer jobs in Atlanta, GA look for?

The top searched job categories for Quantitative Data Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Quantitative Data Engineer jobs?

Cities near Atlanta, GA with the most Quantitative Data Engineer job openings:

Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Atlanta, GA as of June 2026, with employment types broken down into 6% As Needed, 74% Full Time, 14% Part Time, and 6% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,694 per year, or $59.9 per hour.

Quantitative Business Analyst, Product Development

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

Re-posted yesterday

Job description

Overview
Job Purpose
At Intercontinental Exchange, our exchanges and clearing houses across North America, Europe and Asia, deliver risk solutions across asset classes and time zones. Whether its hedging, investing or capital raising, our markets, clearing houses and data help transform challenges into opportunities.
We are seeking a Quantitative Business Analyst to join a team that plays a critical role in the firm's success by supporting the Derivative Valuations Platform, which delivers daily pricing valuations for all Exchange-Cleared Futures and Options. The ideal candidate will bring a strong background in finance, data modeling, and product development, along with the ability to analyze complex models, define business requirements, and lead their implementation into production. This role requires strong analytical capabilities, a solid understanding of business processes, and the ability to clearly communicate complex technical concepts to diverse stakeholders across both technical and business functions.
Responsibilities
  • Analyze and translate complex business needs into functional and quantitative requirements with a focus on derivative pricing and settlement workflows.
  • Collaborate with stakeholders across product, finance, data science, risk, and engineering teams to implement data-driven solutions.
  • Support testing and implementation of settlement technology platform enhancements for production systems.
  • Effectively translate complex financial and mathematical concepts into business-friendly language, and vice versa, to ensure alignment between technical and business teams.
  • Act as a liaison between the business and technology areas to ensure that data-related business requirements are clearly defined, communicated, and well understood and considered as part of operational prioritization and planning.
  • Prior experience working with financial derivatives (e.g., futures, options, or other structured products).
  • Interface with Clearing/Risk platforms to understand and implement required settlement enhancements.
  • Adhere to company software development processes and standards.
  • Assist operations with incident resolution.
  • Follow changes in market trends as they relate to derivatives pricing.

Knowledge and Experience
  • Bachelor's degree in quantitative fields such as Mathematics, Finance, Economics, Engineering, Computer Science, or related.
  • 2+ years of experience in business analysis, data analytics, or a quantitative role in finance, fintech, or consulting.
  • Proficiency in SQL and strong Excel skills.
  • Experience with Python, R, or other scripting languages used for data analysis or modeling.
  • Strong understanding of statistical methods, financial principles, or risk analysis.
  • Excellent communication skills; ability to convey complex quantitative findings to non-technical audiences.
  • Ability to work in a fast-paced environment and meet daily deadlines.
  • Must possess excellent written and oral communication skills; technical and functional business writing skills required.
  • Ability to effectively facilitate requirements gathering sessions, reviews, and issue resolution involving multiple stakeholders.

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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