EIS Associate Developer I
White, GA · On-site
... a data engineer or similar role * Extensive experience working with various data sources (Oracle ... Master's degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial ...
EIS Associate Developer I
White, GA · On-site
... a data engineer or similar role * Extensive experience working with various data sources (Oracle ... Master's degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial ...
... as a data engineer or similar role • Extensive experience working with various data sources ... quantitative discipline (e.g. Computer Science, Statistics, Industrial Engineering, Management ...
... as a data engineer or similar role • Extensive experience working with various data sources ... quantitative discipline (e.g. Computer Science, Statistics, Industrial Engineering, Management ...
Process Engineer
$48.08 - $67.31/hr
Conduct experiments, data analysis and troubleshooting for production issues. * Lead projects that ... Excellent computer and quantitative ability * Knowledge of basic polymer chemistry * Knowledge of ...
Quick apply
Process Engineer
$48.08 - $67.31/hr
Conduct experiments, data analysis and troubleshooting for production issues. * Lead projects that ... Excellent computer and quantitative ability * Knowledge of basic polymer chemistry * Knowledge of ...
Chemical Process Optimization Engineer
Calhoun, GA · On-site
$100K - $140K/yr
Strong interpersonal and communication skills; exceptional quantitative and computing capability ... High-level operational and data analysis * Engineering degree or equivalent technical training ...
Quick apply
Chemical Process Optimization Engineer
Calhoun, GA · On-site
$100K - $140K/yr
Strong interpersonal and communication skills; exceptional quantitative and computing capability ... High-level operational and data analysis * Engineering degree or equivalent technical training ...
Quantitative Data Engineer information
See Rome, GA salary details
$11K - $28K
0% of jobs
$28K - $45K
0% of jobs
$45K - $62K
0% of jobs
$62K - $79K
18% of jobs
$79K - $96K
0% of jobs
$96K - $113.1K
4% of jobs
$114.6K is the 25th percentile. Wages below this are outliers.
$113.1K - $130.1K
35% of jobs
$140.8K is the 75th percentile. Wages above this are outliers.
$130.1K - $147.1K
28% of jobs
$147.1K - $164.1K
3% of jobs
$164.1K - $181.1K
4% of jobs
$181.1K - $198.1K
7% of jobs
$11K
$129.7K
$198.1K
How much do quantitative data engineer jobs pay per year?
As of Aug 31, 2026, the average yearly pay for quantitative data engineer in Rome, GA is $129,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $138,600.00 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?
| Aspect | Quantitative Data Engineer | Data Scientist |
|---|---|---|
| Primary Focus | Building data pipelines, data infrastructure, and ensuring data quality | Analyzing data, creating models, and deriving insights |
| Skills & Tools | SQL, Python, Spark, ETL processes, data architecture | Statistics, machine learning, Python/R, data visualization |
| Credentials | Computer science, engineering, or related degrees; certifications in data engineering | Statistics, data science, or related degrees; certifications in data analysis or machine learning |
| Work Environment | Data engineering teams, data infrastructure projects | Data 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 job categories do people searching Quantitative Data Engineer jobs in Rome, GA look for?
The top searched job categories for Quantitative Data Engineer jobs in Rome, GA are:
What cities near Rome, GA are hiring for Quantitative Data Engineer jobs?
Cities near Rome, GA with the most Quantitative Data Engineer job openings:
Qcells rating
6.8
Based on 24 frontline employees who took The Breakroom Quiz
Job description
Description
Location: Cartersville, GA
SUMMARY
The EIS Associate Developer will build and operate a data pipeline for the solar product manufacturing line and conduct end-to-end analysis from data gathering, data processing, analysis and visualization.
RESPONSIBILITIES
• Define and extract a high volume of manufacturing data from multiple sources and integrate data into a target database, application, or file using efficient programming processes
• Design and develop data visualizations to convey information to engineers and technicians
• Develop and implement scripts for ETL process maintenance, monitoring, and performance tuning
• Collaborate with cross-functional teams to resolve data quality and operational issues
• Maintain existing data pipelines and visualizations enhancement requests
REQUIRED QUALIFICATIONS
• Bachelor’s degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial
Engineering, Management Information Systems or a related field)
• 3+ years of prior experience as a data engineer or similar role
• Extensive experience working with various data sources (Oracle, SQL database)
• Experience in web applications tools (Java, Spring Boot, etc.)
• Deep understanding of Object-Oriented Programming concept
• Excellent analytical, problem-solving, and written/verbal communication skills
• Ability to work independently and collaboratively in a team environment
PREFERRED QUALIFICATIONS
• Master’s degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial
Engineering, Management Information Systems or a related field)
• 5+ years of prior experience as a data engineer or a similar role
• Experience in manufacturing industry such as solar PV or semiconductors
• Proficiency in data visualization tools (Spotfire, Tableau, PowerBI, etc.)
• Experience in using statistical packages (Numpy, Scipy, Scikit-learn) and Web framework (Django,
Flask) in Python
• Experience in the big data technologies (Hadoop, Spark, Kafka, etc.)
Hanwha Q CELLS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
About Qcells
Sourced by ZipRecruiter
Industry
Clean energy semiconductors manufacturing and clean energy equipment manufacturing