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Quantitative Data Engineer Jobs in Michigan (NOW HIRING)

Optical Engineer

Auburn Hills, MI Β· On-site

$122K - $158K/yr

Analyze complex optical performance issues, use quantitative data to determine root cause, and ... Mentor engineers and technicians in optical measurement techniques, data interpretation, laboratory ...

Master's degree in Data Science, Computer Science, Computer Engineering, Statistics, or a related highly quantitative field. * Experience: 5+ years of combined experience in Data Science, Data ...

Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of ...

Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of ...

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 ...

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 ...

You'll work alongside Data Engineering, AI, and cross‑functional teams to design and deploy ... quantitative field--or equivalent practical experience. * 2-5+ years of hands‑on analytics ...

You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy ... quantitative field - or equivalent practical experience * 2-5+ years of hands-on analytics ...

You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy ... quantitative field - or equivalent practical experience * 2-5+ years of hands-on analytics ...

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 ...

... data-driven business. Our strategies are identified by a small research team and then executed by ... Be the bridge to engineering. You will spend real time watching people work, spotting what should ...

Showing results 21-40

Quantitative Data Engineer information

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 Michigan?

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

What job categories do people searching Quantitative Data Engineer jobs in Michigan look for?

The top searched job categories for Quantitative Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Quantitative Data Engineer jobs?

Cities in Michigan with the most Quantitative Data Engineer job openings:

Infographic showing various Quantitative Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Optical Engineer

Auburn Hills, MI β€’ On-site

Magna
Investment Clubs and Venture Capital CompaniesΒ β€’Β 11 - 50 employees

$122K - $158K/yr

Full-time

Posted 24 days ago


Key responsibilities

  • Lead optical design and development activities for automotive camera products, including requirements definition, component evaluation, implementation, test, debug, and design release.

  • Develop optical architectures and system-level specifications for lenses, CMOS imagers, illumination paths, filters, and complete camera systems.

  • Develop, implement, validate, and improve optical test methods and perform advanced optical characterization for lenses, image sensors, and camera systems.


Job description

Job descriptions may display in multiple languagesbased on your language selection.

What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That's what we're passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.

Job Responsibilities:


This role is not eligible for visa sponsorship. Candidates must have current and ongoing authorization to work in the United States.

JOB SUMMARY

The Optics Engineer is responsible for the design, development, characterization, validation, and technical support of automotive camera products. Responsibilities include development of lens, imager, camera-system, and optical test specifications; optical performance optimization; advanced laboratory characterization; manufacturing and calibration support; and resolution of complex optical performance issues throughout the product-development lifecycle.

The role may be assigned primarily to Optical Development, Optical Test and Characterization, or a combination of both, based on program and organizational needs. The engineer works independently on intermediate-to-advanced assignments and serves as a technical resource within cross-functional and global teams.

JOB FUNCTIONS (ESSENTIAL) - LEVEL 2Optical Development and Program Execution
  • Lead optical design and development activities for automotive camera products, including requirements definition, component evaluation, implementation, test, debug, and design release.
  • Develop optical architectures and system-level specifications for lenses, CMOS imagers, illumination paths, filters, and complete camera systems.
  • Evaluate CMOS image sensors and optimize camera performance through imager configuration, register tuning, and quantitative image-quality assessment.
  • Develop or specify multi-element lenses optimized for automotive near-field and far-field applications.
  • Perform optical tolerancing, sensitivity analysis, and design-tradeoff assessments that balance performance, robustness, manufacturability, and cost.
  • Provide technical ownership of optical performance requirements and support program milestones, design reviews, customer deliverables, and launch readiness.
  • Identify optical technical risks and define practical mitigation plans to protect program timing, quality, and customer commitments.
Advanced Optical Testing and Characterization
  • Develop, implement, validate, and continuously improve optical test methods for lenses, image sensors, and complete automotive camera systems.
  • Perform advanced optical characterization, including MTF and spatial resolution, distortion, relative illumination, color and spectral response, noise and dynamic range, flare, stray light, ghosting, veiling glare, and overall image quality.
  • Develop test specifications, procedures, acceptance criteria, correlation methods, measurement-system analyses, and reporting templates for camera development programs.
  • Design and automate optical test processes to improve throughput, repeatability, data quality, and utilization of laboratory equipment.
  • Analyze complex optical performance issues, use quantitative data to determine root cause, and recommend corrective actions to development, manufacturing, supplier, and customer teams.
  • Plan and execute validation activities throughout the development lifecycle while enabling parallel support of multiple programs without compromising technical rigor.
  • Evaluate emerging optical measurement technologies and characterization methods that improve next-generation camera development and validation.
Cross-Functional Integration and Manufacturing Support
  • Interface with mechanical, electrical, hardware, software, systems, manufacturing, quality, and supplier teams to ensure seamless integration of the optical system into the ECU and camera module.
  • Assess the effects of mechanical packaging, assembly tolerances, thermal behavior, contamination, calibration, electronics, and software processing on optical performance.
  • Support manufacturing process development, assembly, end-of-line testing, calibration, yield improvement, and correlation between development and production measurement systems.
  • Support customer escalations, field investigations, design-validation issues, and structured corrective-action activities using disciplined problem-solving methods.
Technical Leadership and Capability Building
  • Serve as a technical resource and subject-matter expert for camera optics, optical characterization, image-quality analysis, and test methodology.
  • Mentor engineers and technicians in optical measurement techniques, data interpretation, laboratory practices, and structured problem solving.
  • Drive continuous-improvement initiatives that increase optical test efficiency, technical depth, repeatability, and organizational capability.
  • Provide clear, data-based technical recommendations to internal leadership, cross-functional teams, suppliers, and customers.
  • Contribute to optical technology roadmaps, lessons learned, standard methods, reusable tools, and knowledge transfer across global engineering teams.
  • Perform other duties as necessary in support of business objectives, safety requirements, and the Quality Operating System.
JOB REQUIREMENTSEducation and Experience - Level 2
  • Master's degree in optical engineering, applied physics, electrical engineering, imaging science, or a related field. Ph.D. preferred.
  • Four to eight years of relevant experience in optical design, camera development, optical testing, image-quality engineering, or related serial-product development.
  • Automotive electronics or automotive camera development experience strongly preferred. Comparable experience in high-volume consumer, industrial, medical, or professional imaging products may be considered when directly relevant.
  • Demonstrated experience independently executing complex optical engineering assignments and delivering practical, data-based results.
Technical Competencies - Level 2
  • Experience specifying, designing, or evaluating visible-spectrum lenses and imaging systems; automotive camera lens experience preferred.
  • Strong knowledge of CMOS image-sensor characteristics, camera tuning, image-signal behavior, and their effects on system performance.
  • Demonstrated competence in optical performance characterization and image-quality metrics, including MTF, distortion, relative illumination, flare, stray light, ghosting, color, noise, dynamic range, and related measures.
  • Experience developing optical test strategies, laboratory setups, automated measurements, analysis methods, and test specifications for complex camera systems.
  • Understanding of optical tolerancing, sensitivity analysis, measurement uncertainty, repeatability, reproducibility, and performance variation across environmental and manufacturing conditions.
  • Cross-disciplinary understanding of optical-mechanical design, packaging, electrical design, software, image processing, thermal effects, manufacturing, assembly, and calibration.
  • Experience with high-volume, cost-sensitive camera design and manufacturing, including design-for-manufacture and production-test considerations.
  • Familiarity with automotive OEM camera requirements, customer-specific requirements, and environmental and durability expectations for automotive electronic modules.
  • Demonstrated ability to independently diagnose complex optical problems, identify root cause, and lead corrective actions using structured methods such as 8D.
  • Demonstrated innovation through patents, publications, test-method development, technical standards, reusable tools, or products brought to market.
  • Ability to bring structure to ambiguous technical problems, establish direction, prioritize work, and guide teams toward sound engineering decisions.
Software, Laboratory, and Data Skills
  • Optical design and analysis tools such as Zemax OpticStudio and/or CODE V.
  • Camera and image-quality analysis tools, optical laboratory instruments, and optical-mechanical alignment setups.
  • Data analysis and test automation using appropriate engineering tools; experience with Python, MATLAB, LabVIEW, or equivalent platforms is preferred.
  • Microsoft Office, with strong proficiency in Excel and PowerPoint for technical analysis and communication.
  • Working knowledge of requirements management, configuration management, and project monitoring tools; PTC Codebeamer or equivalent experience preferred.
Communication and Working Style
  • Expert written and verbal communication skills, including the ability to present complex optical topics clearly to technical and non-technical audiences.
  • Ability to represent optical design and test topics internally, with suppliers, and with customers.
  • Self-motivated, tenacious, and able to work independently with limited supervision while collaborating effectively in a global, cross-functional environment.
  • Comprehensive knowledge of English. Knowledge of the local working language is an asset where applicable.
  • Domestic and international travel may be required.
POLICIES, QUALITY, AND SAFETY
  • Comply with the Magna Charter and Constitution, Code of Conduct and Ethics, Quality Policy and Objectives, Environmental Policy, and applicable company policies and processes.
  • Review and comply with applicable Customer Specific Requirements.
  • Follow safe work procedures, use required personal protective equipment, and promptly report workplace hazards, injuries, and illnesses.
  • Maintain regular attendance and complete applicable new-hire, new-position, quality, environmental, and health-and-safety training.
PHYSICAL DEMANDS

Normal amount of sitting and standing, average mobility to move around an office, laboratory, and plant environment, and the ability to perform a normal amount of computer and laboratory work. Reasonable accommodations may be made to enable qualified individuals to perform the essential functions.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.


AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.


Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:

Regular / Permanent

Group:

Magna Electronics