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

Process Engineer

Calhoun, GA

$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 ...

... Engineering, Construction Management, or a related field (required) • Master's degree in a ... quantitative risk assessments, job hazard analyses, and reviewing Safety Data Sheets (SDS ...

... Engineering, Construction Management, or a related field (required) • Master's degree in a ... quantitative risk assessments, job hazard analyses, and reviewing Safety Data Sheets (SDS ...

Quantitative Data Engineer information

See Rome, GA salary details

$11K

$129.7K

$198.1K

How much do quantitative data engineer jobs pay per year?

As of Jun 27, 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 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 cities near Rome, GA are hiring for Quantitative Data Engineer jobs? Cities near Rome, GA with the most Quantitative Data Engineer job openings:
Process Engineer

Process Engineer

Polyventive, LLC

Calhoun, GA

$48.08 - $67.31/hr

Full-time

Posted 17 days ago


Job description

**Position:

** Process Engineer

**Department:

** Operations

**Reports to:

** VP, Operations

**

**

**FLSA Status

**: Exempt

| || |

**Position Location:

** Calhoun/Dalton/Rome, GA

**

**

**Summary:

**The Process Engineer is a high-visibility role supporting all facets of manufacturing for Polyventive. Polyventive manufactures a variety of specialty chemicals and has significant expertise in polymers, esters, surfactants, as well as acid and base handling. The role will require a collaborative approach and delivery of optimization and efficiency improvements of multiple facilities in Northwest Georgia.

**

**

**Essential Duties and Responsibilities

**include the following; however, other duties may be assigned.

  • Serve as a change agent within the Polyventive Operations team.

  • Focus on driving process continual improvements in efficiency and safety.

  • Conduct experiments, data analysis and troubleshooting for production issues.

  • Lead projects that address optimization and removal of constraints that are completed in a timely and cost-effective manner.

  • Prepare technical reports, process documentation and presentations for all levels of the organization.

  • Ensure that all processes comply with safety and environmental regulations.

  • Conduct risk assessments and implement appropriate safety measures.

  • Drive the maximization of asset utilization within the Polyventive operations group.

  • Lead process scale-up of new products.

  • Work on cross-functional teams (including the Commercial, R&D, Purchasing and Transportation functions) to drive cost reduction initiatives.

  • Team with EH&S Manager and facility Plant Mangers to drive our safety culture and EH&S initiatives.

  • Develop and maintain operating procedures for manufacturing processes.

  • Manage plant controllable and project costs to budget.

  • Participate and, as necessary, lead Incident Reporting, GEMBA and 5S programs.

**Essential Qualifications and Skills:

**

To successfully perform this job, an individual must be able to perform each key responsibility in a satisfactory manner through individual effort or effective and appropriate collaboration. Additionally, the well-qualified candidate will have the following education and experience:

  • BS Degree in Chemical Engineering or in Mechanical Engineering with chemical manufacturing experience

  • 5 + Years of experience

  • Prior experience in design and equipment processes; scale up, ownership of productivity and capital investment project management.

  • Six Sigma Black Belt and Lean Manufacturing preferred

  • Direct experience in chemical plant batch operations

  • Excellent interpersonal and communication skills

  • Excellent computer and quantitative ability

  • Knowledge of basic polymer chemistry

  • Knowledge of OSHA, Hazmat and EPA Compliance & Regulations

**

**

**

**

**Work Environment:

**

Work is typically performed in an inside, temperature-controlled environment. Works and travels throughout plant environment of varied temperatures and humidity, and wears personal protective equipment, as required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Various operations in the plant generate noise, dust, vapor and fumes in the normal course of production. The Company has been and is committed to eliminating these conditions to the extent possible through the application of design engineering. The Company also provides a variety of safety equipment to keep all associates safe and within OSHA standards. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

You should be proficient in:

  • Continuous Improvement
  • Standard Operating Procedures (SOPs)
  • Troubleshooting Industrial Automation Equipment
  • Process Engineering
  • Design for Manufacturability (DFM)
  • Quality Control Experience
  • Mechanical Design & Engineering
  • Lean Manufacturing Principles
  • High-level Operations Analysis
  • Engineering Degree
  • Process Development
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