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Fabric Data Engineer Jobs in Rochester Hills, MI

Staff Data Scientist

Warren, MI · On-site

$184K - $233K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... the operating fabric of the global enterprise. What You'll Do * Developing industry leading ... Advanced programming skills for analytical model development, data pipelines, and reproducible ...

Data Platforms & Database Engineering * Work with modern cloud data platforms such as Snowflake ... Exposure to data mesh or data fabric architectural patterns. * Relevant cloud certifications (AWS ...

New

Manufacturing Engineer

Fraser, MI · On-site

$65K - $84K/yr

Automated fabric cutting * Adhesive application (roll coating and spray) * Lamination and edge ... Validate effectiveness of corrective actions using process and product data * Communicate technical ...

Manufacturing Engineer

Fraser, MI · On-site

$65K - $84K/yr

Automated fabric cutting * Adhesive application (roll coating and spray) * Lamination and edge ... Validate effectiveness of corrective actions using process and product data * Communicate technical ...

Manufacturing Engineer

Fraser, MI

$65K - $84K/yr

Automated fabric cutting * Adhesive application (roll coating and spray) * Lamination and edge ... Validate effectiveness of corrective actions using process and product data * Communicate technical ...

This role owns our Fortinet security fabric -- including FortiGate, ADVPN, FortiManager, and ... in data closets and server rooms to install or service network equipment. The employee may ...

New

This role owns our Fortinet security fabric - including FortiGate, ADVPN, FortiManager, and ... in data closets and server rooms to install or service network equipment. The employee may ...

New

Showing results 21-40

Fabric Data Engineer information

See Rochester Hills, MI salary details

$41K

$119.4K

$163.4K

How much do fabric data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for fabric data engineer in Rochester Hills, MI is $119,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,600.00 per year, depending on experience, location, and employer.

What is a Fabric Data engineer?

Fabric Data Engineers are professionals who specialize in designing, building, and maintaining data solutions using Microsoft Fabric, an end-to-end analytics platform. They work with data integration, transformation, and storage, ensuring data is accessible and reliable for business intelligence and analytics. Their responsibilities often include setting up data pipelines, integrating multiple data sources, and optimizing data flows for performance and security. Fabric Data Engineers collaborate closely with data analysts, data scientists, and other IT teams to provide robust data infrastructure.

How does a Fabric Data engineer typically collaborate with data analysts and business stakeholders?

As a Fabric Data Engineer, you will regularly partner with data analysts and business stakeholders to understand data requirements, design efficient data pipelines, and ensure data is accessible and reliable for reporting and analytics. Collaboration often involves participating in planning meetings, translating business needs into technical data models, and providing support for troubleshooting data issues. Clear communication and a proactive approach are essential, as you'll be bridging technical solutions with business objectives within cross-functional teams.

What are the key skills and qualifications needed to thrive as a Fabric Data engineer, and why are they important?

To thrive as a Fabric Data Engineer, you need strong skills in data modeling, ETL development, and cloud data platforms, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Fabric, Azure Synapse, SQL, Power BI, and data integration tools, as well as relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help bridge the gap between technical teams and business stakeholders. These competencies are crucial for designing efficient data solutions, ensuring reliable analytics, and supporting organizational decision-making.

What is the difference between Fabric Data Engineer vs Fabric Data Analyst?

AspectFabric Data EngineerFabric Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentBuilds and maintains data infrastructure in cloud or on-premise environmentsAnalyzes data, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and enterprise sectors for data engineering rolesCommon in marketing, finance, and business intelligence teams

Fabric Data Engineers focus on designing and maintaining data pipelines and infrastructure, ensuring data availability and quality. Fabric Data Analysts interpret this data, creating reports and visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Fabric Data Engineer jobs in Rochester Hills, MI?

For Fabric Data Engineer jobs in Rochester Hills, MI, the most frequently searched job titles are:

What job categories do people searching Fabric Data Engineer jobs in Rochester Hills, MI look for?

The top searched job categories for Fabric Data Engineer jobs in Rochester Hills, MI are:

What cities near Rochester Hills, MI are hiring for Fabric Data Engineer jobs?

Cities near Rochester Hills, MI with the most Fabric Data Engineer job openings:

Infographic showing various Fabric Data Engineer job openings in Rochester Hills, 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,398 per year, or $57.4 per hour.

Staff Data Scientist

General Motors

Warren, MI • On-site

$184K - $233K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,279 frontline employees who took The Breakroom Quiz


Job description

Job Description
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].
The Role
This is a unique opportunity to become part of a diverse team comprising advanced analytics professionals. Together, we spearhead the discovery of opportunities and craft solutions, advancing analytics initiatives across our global operations. This role applies leading analytic practices and methods, designs and leads iterative development and learning cycles, and ultimately produces new and creative analytic solutions that become part of the operating fabric of the global enterprise.
What You'll Do
  • Developing industry leading analytics solutions including:
    • Assessing existing analytic models and architectures, reviewing for gaps against business needs and industry best practices
    • Identifying detailed data needs, sources, and structure to support solution development
    • Determining the analytic approaches to be used and defining and applying the appropriate methodologies
    • Employing Proof-of-Concepts for exploratory and targeted data analyses, leading to breakthrough solutions
    • Ensuring integrity of the analytical solutions in terms of the underlying statistical and economic models and assumptions
    • Designing and developing project-specific models.
    • Architecting analytical tools to productionize cloud-based analytical models
    • Monitoring and sustaining model effectiveness

Your Skills & Abilities (Required Qualifications)
  • 10+ years of experience in statistics, econometrics, forecasting, advanced analytics, or related quantitative fields
  • Bachelor's degree AND Ph.D. required in a technical discipline, such as statistics, mathematics, computer science, economics, operations research, or a related quantitative field
  • Deep expertise in statistics, econometrics, forecasting, and predictive modeling
  • Strong command of model development, model validation, uncertainty quantification, and performance monitoring
  • Demonstrated ability to connect methodological choices to business decisions, operational constraints, and end-user impact
  • Advanced programming skills for analytical model development, data pipelines, and reproducible workflows
  • Strong data fluency across structured, time-series, and panel-style analytical data
  • Significant experience building or overseeing forecasting approaches used for planning, scenario evaluation, or business decision-making
  • Ability to translate economic, operational, or market signals into robust forecasting frameworks
  • Experience balancing statistical rigor with practical constraints, data limitations, and stakeholder timelines
  • Strong judgment in model comparison, feature selection, assumption management, and interpretation of results
  • Ability to understand complex business processes, and how business value is created. Based on that knowledge, propose analytic strategies and solutions that challenge and expand the thinking of the working team.
  • Ability to create structured problem statements and conceptualize potential solutions from rough client specifications and information.
  • Ability to communicate analyses, status, results, and recommendations to business management and executives in business terms.

What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Automotive experience
  • Recognized subject matter expertise with a track record of leading large, visible, cross-functional analytical efforts
  • Strong listening and communications skills, with ability to clearly and concisely explain complex problems and technologies to non-expert and executive audiences.
  • Highly collaborative work style, with ability to provide leadership to a cross-functional team.
  • Working well under uncertainties.
  • Commitment to constant learning to expand skills and keep pace with industry advances.

This job may be eligible for relocation benefits.
Compensation:
  • The expected base compensation for this role is: $184,100 - $233,300. Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-CC1
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908