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

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA

$98K - $129K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ...

Credigy

Data & Model Operations Engineer

Norcross, GA

$107K - $128K/yr

A Bachelor's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or Engineering - or equivalent experience. Preferred: * Experience with credit risk models ...

Credigy

Data & Model Operations Engineer

Norcross, GA · On-site

$107K - $128K/yr

A Bachelor's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or Engineering - or equivalent experience. Preferred: * Experience with credit risk models ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field * 5-10 years of experience in data science, machine learning, and statistical analysis

Invesco

Senior Engineer-1

Atlanta, GA · On-site

$100K - $138K/yr

This role will partner closely with quantitative research teams, model owners, and downstream ... This individual will work in a fast-paced environment requiring strong data engineering ...

Invesco Real Estate

Senior Engineer-1

Atlanta, GA · On-site

$135 - $145/hr

This role will partner closely with quantitative research teams, model owners, and downstream ... This individual will work in a fast‐paced environment requiring strong data engineering ...

Invesco

Senior Engineer-1

Atlanta, GA · Hybrid

$100K - $138K/yr

This role will partner closely with quantitative research teams, model owners, and downstream ... Ensuring data quality, completeness, and traceability through proper logging, monitoring, and ...

Crew Career Center

Senior Data Scientist

Atlanta, GA · On-site

D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 8+ years of progressive experience in data science, with a proven track record of delivering impactful ...

Patientco

Senior Data Scientist

Atlanta, GA · On-site

D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 8+ years of progressive experience in data science, with a proven track record of delivering impactful ...

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Showing results 21-40

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.

Senior CX/UX Researcher - AI-First Innovation for Tax & Accounting

Jobtailor

Kennesaw, GA • On-site

$110 - $160/hr

Other

Posted 5 days ago

Job description

Responsibilities
  • Lead, design, and execute complex user research studies, identifying opportunities to drive business value and improve the user experience
  • Merge qualitative and quantitative data via mixed methodologies
  • Drive cross-functional alignment by presenting research insights to senior stakeholders and executive leadership, influencing product and business decisions
  • Synthesize and communicate research findings for diverse audiences, including executive summaries, workshops, and actionable recommendations for cross-functional teams
  • Partner with designers, product managers, and engineers to translate research insights into strategic design and product roadmaps
  • Document insights and artifacts in a central repository
  • Lead the creation and evolution of user personas/archetypes and journey maps based on robust research and data
Requirements
  • Bachelor's Degree in a relevant discipline (Design, HCI, Behavioral Sciences, or related field) or equivalent relevant experience with advanced UX certification or training
  • 5+ years in a User Research role for digital solutions, with demonstrated leadership in research planning and execution
  • Proven ability to design and lead complex, multi-phase user research studies aligned with business and product strategy
  • Advanced skills in analyzing qualitative and quantitative user data
  • Ability to prepare sophisticated, clear, and persuasive research reports tailored to various stakeholders, including executives
  • Expertise in presenting research findings to diverse audiences from cross-functional teams
  • Demonstrated ability to influence and collaborate effectively with designers, product managers, engineers, and other disciplines across our business to implement research insights
  • Strong working knowledge of AI, agentic workflows, and their application in user research and product development
Hard Skills
  • user research
  • mixed methodologies
  • qualitative data analysis
  • quantitative data analysis
  • research planning
  • research execution
  • user personas
  • journey maps
  • research reporting
  • AI
Soft Skills
  • leadership
  • communication
  • collaboration
  • influence
  • synthesis
  • presentation
  • persuasion
  • strategic thinking
  • cross-functional alignment
  • stakeholder engagement
Certifications & Qualifications
  • Bachelor's Degree
  • advanced UX certification
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