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Quantitative Data Engineer Jobs in Flint, MI (NOW HIRING)

Quality Engineer

Saginaw, MI · On-site

$67K - $87K/yr

Utilize manufacturing data and statistical process control to improve product performance over its ... and quantitative fit tests. WHAT WE OFFER * Competitive salary * Retirement Savings: Choose from ...

Monitor process capability, SPC data, and production trends to reduce variation and improve ... Coordinate corrective actions with production, engineering, maintenance, and suppliers. * Develop ...

Monitor process capability, SPC data, and production trends to reduce variation and improve ... Coordinate corrective actions with production, engineering, maintenance, and suppliers. * Develop ...

Quantitative Data Engineer information

See Flint, MI salary details

$10.7K

$126.1K

$192.6K

How much do quantitative data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for quantitative data engineer in Flint, MI is $126,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $134,700.00 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 Flint, MI?

For Quantitative Data Engineer jobs in Flint, MI, the most frequently searched job titles are:

What job categories do people searching Quantitative Data Engineer jobs in Flint, MI look for?

The top searched job categories for Quantitative Data Engineer jobs in Flint, MI are:

What cities near Flint, MI are hiring for Quantitative Data Engineer jobs?

Cities near Flint, MI with the most Quantitative Data Engineer job openings:

Infographic showing various Quantitative Data Engineer job openings in Flint, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,133 per year, or $60.6 per hour.

Quality Engineer

Amrize

Saginaw, MI • On-site

$67K - $87K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

Join the Duro-Last team, a brand of Amrize Building Envelope and the world's largest manufacturer of custom-fabricated commercial roofing solutions. 

Were seeking a Quality Engineer who's ready to be part of an innovative, people-first brand shaping the future of the roofing industry.

ABOUT THE ROLE

The Quality Engineer partners closely with Operations Managers and Process Engineers to drive quality related improvements as well as Quality Management System (QMS) deployment. This role is responsible for supporting the improvement of the QMS, tracking and reporting quality KPI's, creating process maps for key manufacturing areas, implementing control plans and helping to establish a supplier quality program. Success in this role means creating and maintaining process maps, quality standards, process control plans and quality standard work document .

WHAT YOU'LL ACCOMPLISH

  • Play a key role on a strong team dedicated to leading the cross-functional implementation of a robust QMS
  • Audit manufacturing processes that lead to improved product quality
  • Decrease the cost of poor quality through the use of industry standard problem-solving techniques
  • Utilize manufacturing data and statistical process control to improve product performance over its lifetime
  • Create process maps and control plans for large, complex manufacturing lines
  • Track critical to quality KPI's and use the data to drive problem solving initiatives
  • Support the continuous improvement of the Quality Management System for the Duro-Last business unit.
  • Develop process maps and control plans for key manufacturing lines within the Duro-Last business unit.
  • Work with cross-functional groups to drive problem solving efforts specifically where it pertains to product quality and performance.
  • Support the adoption of a change management system for the Duro-Last business unit with a focus on reducing quality risks associated with changes to materials, process and equipment.
  • Participate in a system of continuous improvement around Duro-Last's Cost of Poor Quality by analyzing data around quality related KPI's and implementing corrective actions.

WHAT WE'RE LOOKING FOR

Education & Experience 

  • Bachelor's Degree in Engineering is preferred.
  • A minimum of 2 years in a Quality focused role within a manufacturing environment.
  • Basic MS Office, Excel, Minitab, Process mapping software.
  • 5% overnight travel and an additional 10% local travel.
  • Must have working knowledge of Minitab statistical software.
  • Must have experience using problem solving tools - 5 Why, Fishbone, Pareto Charts, FMEA.

Additional Requirements:

  • Successful candidates must adhere to all safety protocols and proper use of Amrize approved Personal Protection Equipment ("PPE"), including but not limited to respirators.
  • Employees that are required to wear respirators must be clean shaven where the respirator seal meets the face in order to pass the qualitative and quantitative fit tests.

WHAT WE OFFER

  • Competitive salary
  • Retirement Savings: Choose from 401(k) pre-tax and/or Roth after-tax savings
  • Employee Stock Purchase Plan 
  • Medical, Dental, Disability and Life Insurance  
  • Holistic Health & Well-being programs
  • Health Savings Accounts (HSAs) & Flexible Spending Accounts (FSAs) for health and dependent care
  • Vision and other Voluntary benefits and discounts
  • Paid time off & paid holidays
  • Paid Parental Leave (maternity & paternity)
  • Educational Assistance Program

#Duro-Last #LI-Onsite #LI-TV1

Amrize is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We thank all applicants for their interest; however, only those selected for an interview will be contacted.