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Quantitative Data Engineer Jobs in Georgia (NOW HIRING)

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

A bachelor's degree in Computer Science, Mathematics, or a related quantitative field, or ... Familiarity with data engineering concepts: ETL/ELT, APIs, data pipelines, or similar * Curiosity ...

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

A bachelor\'s degree in Computer Science, Mathematics, or a related quantitative field, or ... Familiarity with data engineering concepts: ETL/ELT, APIs, data pipelines, or similar * Curiosity ...

Unum UK

Data Engineer I

Atlanta, GA · On-site

$110K - $132K/yr

Bachelor's degree in quantitative field or equivalent experience * 2 years of professional experience or equivalent relevant work experience preferred * Core Data Engineer Capabilities: Knowledge in ...

Deloitte

Generative AI Data Engineer III

Atlanta, GA

$110K - $132K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field * 5+ years of professional experience * 3+ years of experience designing ...

Deloitte

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field * 5+ years of professional experience * 3+ years of experience designing ...

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 · 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 ...

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 ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA

... 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 ...

New

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

... 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 ...

New

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA

... 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 ...

New

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA

... 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 ...

New

Workday

People Analytics Data Scientist

Atlanta, GA · On-site

$175K - $263K/yr

Academic background in a quantitative field such as Computer Science, Statistics, Engineering ... Strong business intuition, data analysis skills, as well as business presentation skills to share ...

Rainbook

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 ...

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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Georgia

Quantitative Data Engineer information

What is an example of quantitative?

A quantitative example involves numerical data that can be measured and analyzed statistically. In a Quantitative Data Engineer role, this might include metrics like transaction volumes, data throughput, or statistical summaries used to build data pipelines and models.

What is quantitative vs qualitative?

Quantitative data refers to numerical information that can be measured and analyzed statistically, such as sales figures or sensor readings. Qualitative data involves descriptive, non-numerical information like opinions, interviews, or observations. In data engineering, understanding both types helps in designing systems that process and analyze diverse data sources effectively.

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 does quantitative mean?

In the context of a Quantitative Data Engineer role, 'quantitative' refers to working with numerical data and statistical methods to analyze and model information. This involves skills in mathematics, programming, and data analysis tools to develop algorithms and insights from large datasets.

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 are the synonyms of quantitative?

Synonyms of quantitative include numerical, measurable, and statistical. In a data engineering context, these terms relate to data that can be quantified and analyzed using tools like SQL, Python, or R, often involving numerical datasets and statistical methods.

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:
Quantitative Data Engineer jobs near you
Data Engineer

Data Engineer

PrizePicks

Atlanta, GA • On-site, Remote

$105K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
We are looking for a Data Engineer 1 to join our Data Engineering team and help build the data infrastructure that powers analytics, machine learning, and business decision-making at PrizePicks. This is an entry-level role where you will work on well-defined pipeline and data tasks under guidance, building your skills across the full data engineering stack while contributing to a modern lakehouse platform.
What you'll do:
Pipeline & Data Tasks
  • Develop and execute well-defined data engineering tasks - creating and modifying data models, writing ingestion scripts, and updating transformations following engineering standards
  • Orchestrate data flow through PrizePicks' medallion lakehouse architecture: Landing-Bronze-Silver-Gold
  • Deploy, execute, and monitor data jobs and workflows, respond to failures following established runbooks during oncall
Code Quality & Development
  • Author robust Python and SQL code following team conventions, with guidance on style, structure, and testing
  • Adhere to team standards for model organization, naming, and documentation
  • Conduct code reviews - give and receive feedback constructively
  • Implement unit tests and adopt what good test coverage looks like for data pipelines
Collaboration & Ownership
  • Own assigned pipeline tasks - follow through, communicate blockers early, and see work to completion
  • Collaborate actively in agile rituals and team discussions
  • Document technical builds: models, runbooks, and decisions. Share learnings with the team.
  • Partner with Analytics, MLE, and Product stakeholders to understand how the data you produce gets used and find opportunities to better serve stakeholders.
What you have:
  • A bachelor's degree in Computer Science, Mathematics, or a related quantitative field, or equivalent hands-on experience
  • Good knowledge of Python - you can write a script, work with data structures, and follow a coding style guide
  • Experience working with cloud environments (GCP, AWS, Azure)
  • Familiarity with SQL - you can write queries, understand joins, and read a schema
  • Familiarity with data engineering concepts: ETL/ELT, APIs, data pipelines, or similar
  • Curiosity about how data moves through systems and a desire to understand the full stack
  • Clear written and verbal communication skills - you can explain what you're working on and flag when you're stuck
  • Ownership mindset: takes responsibility for assigned tasks and follows through reliably
What makes you stand out:
  • Exposure to GCP
  • Familiarity with a workflow orchestration tool (Airflow, Argo, etc.)
  • Experience with Big Query, dbt, Spark, Kafka, or Iceberg
  • Experience with containerization or Kubernetes
  • Experience with Infrastructure as Code tooling (Terraform, CrossPlane)
Where you'll live:
  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks:
The typical salary range for this position is $105,000 to $140,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: June 22nd, 2026
Benefits you'll receive:
In addition to your great compensation package, full-time employees will be eligible for the following perks:
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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