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

Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.) * Proficiency in SQL or other data ...

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

Predictive Modeler

Lansing, MI · Hybrid

$55.50 - $72/hr

... Electrical Engineering, etc.) * Outstanding problem solving and critical thinking skills * An ... a quantitative discipline * (Preferred) Professional experience building models with large data ...

Predictive Modeler

Lansing, MI · On-site

$55.50 - $72/hr

... Electrical Engineering, etc.) * Outstanding problem solving and critical thinking skills * An ... a quantitative discipline * (Preferred) Professional experience building models with large data ...

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software ... a quantitative discipline. If you are studying for Kettering's Master degree in Data Science ...

Kettering Co-op

Lansing, MI

$19.50 - $25.50/hr

Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software ... a quantitative discipline. If you are studying for Kettering's Master degree in Data Science ...

Identify and implement efficiencies to enhance project execution and data substantiation ... Bachelor's degree in Accounting, Finance, Engineering, or a related quantitative field.

Bachelor's Degree in Construction Management, Civil Engineering, Engineering, Business, Finance or ... Deep understanding of research methodology, data analysis, and estimation metrics. Additional ...

... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ... Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.

Quantitative Data Engineer information

See Lansing, MI salary details

$11.2K

$131.5K

$200.8K

How much do quantitative data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for quantitative data engineer in Lansing, MI is $131,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,200.00 and $140,500.00 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 Lansing, MI?

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

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

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

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

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

Infographic showing various Quantitative Data Engineer job openings in Lansing, MI as of June 2026, with employment types broken down into 1% Internship, 91% Full Time, and 8% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,516 per year, or $63.2 per hour.

Full-time

Retirement, PTO

Re-posted 2 days ago


Auto-Owners Insurance rating

9.2

Company rating: 9.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

22nd of 311 rated insurance


Job description

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.
Job Description
We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week.
Please note we are not currently hiring fully remote positions. All candidates must have the ability to work in our home office in Lansing, Michigan from time to time.
Auto-Owners Insurance, a top-rated insurance carrier, is seeking a data scientist to join our analytics teams. The position requires the person to:
  • Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements
  • Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data structures and metrics
  • Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information
  • Design, prototype, and implement new approaches for solving problems.
  • Collaborate with a cross-functional team, including software developers, architects, and business leaders
  • Create clear and easy to understand documentation for models
  • Monitor model performance and implement iterative improvements

Desired Skills & Experience
  • Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.)
  • Proficiency in SQL or other data querying language
  • An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.
  • Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc.
  • Aptitude and willingness to learn new things and teach others
  • Strong written and oral communication skills
  • 2-4 years of professional experience building models with large data sets. Candidates with 0-1 years of experience, please use the job posting for "Predictive Modeler".
  • (Preferred) PhD in a quantitative discipline
  • (Preferred) Experience in the insurance industry

Compensation/Benefits
The salary offered will be commensurate with skills and experience.
We offer a friendly, hybrid work environment with primary work from home ability and monthly opportunities for team overlap in the office.
Along with a competitive base salary, our excellent benefits package includes a matched 401(k), fully-funded pension plan (once vested), bonus programs, student loan assistance, gym cost reimbursement, and generous paid time off including holidays, vacation days, personal time, and sick leave. We also offer structured education & training programs, mentoring, and opportunities for advancement and lateral movement to help you progress through your career. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you!
Equal Employment Opportunity
Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.
*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.
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