1

Quantitative Data Engineer Jobs in Georgia (NOW HIRING)

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 ...

... quantitative urban planner, and who brings the technical skills to build and operate the data infrastructure their own work requires. This is not primarily an engineering role, though the ideal ...

... quantitative urban planner, and who brings the technical skills to build and operate the data infrastructure their own work requires. This is not primarily an engineering role, though the ideal ...

... quantitative urban planner, and who brings the technical skills to build and operate the data infrastructure their own work requires. This is not primarily an engineering role, though the ideal ...

... quantitative urban planner, and who brings the technical skills to build and operate the data infrastructure their own work requires. This is not primarily an engineering role, though the ideal ...

Deep dive on ETFs and Mutual Funds data. Requirements: * Bachelor's Degree in Finance, Mathematics ... * 2+ years programming experience * Experience working with portfolio analytics solutions ...

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

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 ...

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 ...

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 ...

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 ...

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 ...

Cloud Data Solutions Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are looking for a Cloud Data Solutions Engineer to design and build cloud-based applications and ... quantitative or engineering field. Master's degree is a plus. Experience * Minimum 5-7 years of ...

Showing results 21-40

Quantitative Data Engineer information

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 Georgia? For Quantitative Data Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Georgia look for? The top searched job categories for Quantitative Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Quantitative Data Engineer jobs? Cities in Georgia with the most Quantitative Data Engineer job openings:

Data & Model Operations Engineer

Credigy

Norcross, GA • On-site

$107K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Data & Model Operations Engineer
Credit - Data Science & Analytics | Norcross, GA
About This Role
Data doesn't govern itself - and at Credigy, we believe the best models are only as good as the pipelines and governance frameworks behind them. The Data & Model Operations team sits at the intersection of data engineering, governance, and model lifecycle integration, building the infrastructure that makes our analytical workflows reliable, auditable, and ready for production at scale. As a Data & Model Operations Engineer, you'll play a central role in unifying how data moves, transforms, and feeds critical credit risk processes across the organization. If you're the kind of person who gets energized by solving upstream problems that make everything downstream work better - and you want to do that work in a company where it matters directly to the business - this role is for you.
Please note that we are unable to provide visa sponsorship for this role. Candidates must be legally authorized to work in the United States now and in the future without employer sponsorship.
What You'll Do
You'll work within Credigy's Credit - Data Science & Analytics team, partnering closely with deal, analytics, and engineering teams to deliver scalable data and model solutions that hold up under scrutiny. Your work will touch everything from enterprise data governance and pipeline orchestration to model operationalization - the kind of foundational work that enables better decisions across the organization. You'll be expected to bring both technical depth and the ability to collaborate across teams, translating complex requirements into production-ready workflows. Success here means delivering infrastructure and processes that are not just functional, but governed, repeatable, and built to last.
Key Responsibilities
  • Design and implement Informatica Taskflows integrated with ELT processes to unify data and model operations into governed, end-to-end workflows.
  • Build and maintain data governance capabilities including enterprise glossary management, technical asset association, metadata extraction, data lineage, and automated data profiling and quality checks.
  • Integrate model execution, scoring, monitoring, and reporting into scalable production workflows.
  • Support credit risk model lifecycle processes, including data preparation, validation, deployment, and model refresh activities.
  • Partner with deal, analytics, and engineering teams to deliver auditable, production-ready data and model solutions.
  • Contribute to AI-driven initiatives that enhance data governance, pipeline operations, and workflow automation.

What We're Looking For
Required:
  • 2+ years of relevant full-time experience in data engineering, analytics, data governance, or ModelOps-related roles.
  • Strong SQL skills and hands-on experience with Snowflake or similar cloud data platforms.
  • Programming experience in Python, SAS, or R.
  • Experience working with large datasets, analytical workflows, and pipeline orchestration.
  • 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 or model lifecycle processes.
  • Hands-on experience with machine learning models and familiarity with MLOps concepts, including model training, testing, deployment, and monitoring.
  • Experience with data governance, lineage, profiling, or catalog tools (e.g., Informatica CDGC).
  • Exposure to dbt, APIs, CI/CD, Docker, workflow orchestration, or reusable ELT frameworks.
  • Comfort with AI-assisted development tools such as GPT, Claude, or Informatica Claire AI - or a strong desire to develop that fluency.
  • A Master's degree in a quantitative field is a plus.

The Credigy Experience
Credigy offers a comprehensive benefits package including medical, dental, and vision coverage through Cigna - with Credigy covering a significant portion of premiums - plus STD, LTD, and basic life insurance at no cost to you. You'll also have access to a 401(k) with company match, generous PTO, paid parental leave, volunteer time off through Credigy Cares, and a range of workplace perks designed to support how you work best - from a thoughtfully equipped office environment to the technology and tools that help you do your best work. Beyond the benefits, you'll join a team recognized year-over-year as a Top Workplace nationally and in Atlanta, with a personalized Flex Werk program, real opportunities for career growth, and a culture built around people who are bold, curious, and supportive - and the chance to build the data governance and model operations infrastructure that powers Credigy's most critical analytical decisions.
A Note to Applicants
If this role excites you but you don't check every box, we encourage you to apply. We value curiosity, a willingness to learn, and a collaborative spirit just as much as direct experience.
Where & How You'll Work
This role is based at Credigy's corporate headquarters in Norcross, GA. From day one, you'll work with your manager to build a personalized flexibility arrangement through Credigy's Flex Werk program - because we believe the best work happens when people have the support and autonomy to work in a way that works for them.
About Credigy
Founded in 2001, Credigy is a global specialty finance company with flexibility across the capital structure to acquire or finance a broad range of consumer assets. We are a wholly-owned subsidiary of National Bank of Canada (NBC) and our $9.1B+ portfolio represents 400+ deals and $32B+ in total investments life-to-date. We are the partner of choice when financial institutions face complex challenges and strategic changes. If you haven't heard of us yet, we're okay with that - we focus on serving our business partners, not making a name for ourselves.
We are proud of our people-first company culture that has been recognized year-over-year as a Top Workplace both in Atlanta and nationally. What matters to you, matters to us so we go beyond the usual benefits to offer meaningful perks that support professional growth, personal connection, and a life outside the office. Early in the hiring process, we partner with you on our innovative, personalized flexible work program to maximize compatibility between your needs and the business from day one. Our priority is hiring top talent and helping you create a career you love.
Equal Opportunity Employer
Credigy is a workplace that is free of discrimination and full of opportunity. We prioritize diversity, inclusion, and belonging, and we are dedicated to unbiased recruiting, hiring, and employment practices. Authenticity goes a long way at Credigy, and we get excited about the privilege of hiring people from diverse backgrounds. We are proud to be an Equal Opportunity Employer and commit to ensuring all applicants and employees are considered based on their qualifications and merit, without regard to race, ethnicity, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, citizenship, disability, pregnancy, or any other status protected by law. We expect each employee to support this policy in our daily operations and we do not tolerate discriminatory practices or harassment in any form. No matter how you identify, or what background or industry you come from, we welcome you and feel honored you are considering opportunities at Credigy.
Founded in 2001, Credigy is a global specialty finance company with flexibility across the capital structure to acquire or finance a broad range of consumer assets. We are a wholly-owned subsidiary of National Bank of Canada (NBC) and our $9.1B+ portfolio represents 400+ deals and $32B+ in total investments life-to-date. We are the partner of choice when financial institutions face complex challenges and strategic changes. If you haven't heard of us yet, we're okay with that - we focus on serving our business partners, not making a name for ourselves.
We are proud of our people-first company culture that has been recognized year-over-year as a Top Workplace both in Atlanta and nationally. What matters to you, matters to us so we go beyond the usual benefits to offer meaningful perks that support professional growth, personal connection, and a life outside the office. Early in the hiring process, we partner with you on our innovative, personalized flexible work program to maximize compatibility between your needs and the business from day one. Our priority is hiring top talent and helping you create a career you love.
Credigy is a workplace that is free of discrimination and full of opportunity. We prioritize diversity, inclusion, and belonging, and we are dedicated to unbiased recruiting, hiring, and employment practices. Authenticity goes a long way at Credigy, and we get excited about the privilege of hiring people from diverse backgrounds. We are proud to be an Equal Opportunity Employer and commit to ensuring all applicants and employees are considered based on their qualifications and merit, without regard to race, ethnicity, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, citizenship, disability, pregnancy, or any other status protected by law. We expect each employee to support this policy in our daily operations and we do not tolerate discriminatory practices or harassment in any form. No matter how you identify, or what background or industry you come from, we welcome you and feel honored you are considering opportunities at Credigy.