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Data Analytics Engineer Jobs in Dearborn, MI (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

Detroit, Hybrid Ideal candidate will have: * 3+ years in stakeholder-facing Data Engineering/Data Analytics position * Consulting experience * Databricks, Foundry, or Snowflake * Python, PySpark ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

Detroit, Hybrid Ideal candidate will have: * 3+ years in stakeholder-facing Data Engineering/Data Analytics position * Consulting experience * Databricks, Foundry, or Snowflake * Python, PySpark ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

General Motors

Data Engineer - Resource Demand

Warren, MI · On-site +1

$107K - $129K/yr

The Role The Resource Demand team is building trusted data pipelines, analytical datasets, and reporting applications that improve engineering planning decisions across General Motors. The work ...

General Motors

Data Engineer - Resource Demand

Warren, MI · On-site

$107K - $129K/yr

The Role The Resource Demand team is building trusted data pipelines, analytical datasets, and reporting applications that improve engineering planning decisions across General Motors. The work ...

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

This is first and foremost an analytics-focused data engineering role. The ideal candidate has strong expertise in data modeling, analytics engineering, Microsoft Fabric, Databricks, Python ...

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

This is first and foremost an analytics-focused data engineering role. The ideal candidate has strong expertise in data modeling, analytics engineering, Microsoft Fabric, Databricks, Python ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

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Showing results 21-40

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Dearborn, MI

Data Analytics Engineer information

See Dearborn, MI salary details

$40.9K

$119.2K

$163.1K

How much do data analytics engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analytics engineer in Dearborn, MI is $119,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $126,300.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Dearborn, MI? The most popular types of Data Analytics Engineer jobs in Dearborn, MI are:
What are popular job titles related to Data Analytics Engineer jobs in Dearborn, MI? For Data Analytics Engineer jobs in Dearborn, MI, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Dearborn, MI look for? The top searched job categories for Data Analytics Engineer jobs in Dearborn, MI are:
What cities near Dearborn, MI are hiring for Data Analytics Engineer jobs? Cities near Dearborn, MI with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Dearborn, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $119,172 per year, or $57.3 per hour.

Sub-System Lead Engineer OR Senior Sub-System Lead Engineer (Chassis Data & Analytics)

General Motors

Milford, MI • On-site

Full-time

Re-posted 11 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 6,276 frontline employees who took The Breakroom Quiz

Job description

Job Description
The Role:
As a Chassis Diagnostics & Analytics Sub-system Lead Engineer, you will play a key role in shaping how next-generation vehicles are monitored, diagnosed, and improved. This is an opportunity to lead high-impact work at the intersection of diagnostics, data, and vehicle innovation-defining the capabilities that help enable smarter, safer, and more reliable chassis systems across braking, steering, suspension, and vehicle dynamics.
In this role, you will turn complex technical challenges into clear, actionable solutions by leading diagnostic specifications, shaping core data strategies, and strengthening on-board health monitoring capabilities. You'll collaborate across a broad network of partners, influence both technical direction and execution, and help build trusted analytics foundations that support the future of software-defined vehicles. If you are energized by solving complex problems, leading with technical depth, and making a visible impact on the future of mobility, this is a unique opportunity to help drive GM's vision of Zero Crashes, Zero Emissions, and Zero Congestion.
*This role is open to hire at 1 of 2 levels. (L6 or L7)
What You'll Do:
  • Lead the requirements documentation and coordination by developing Behavior Technical Specifications (BTS's) for chassis diagnostics and analytics projects and translating these to project initiatives, capabilities, and features.
  • Create and maintain requirements for serial data and service-level diagnostics (ex. RIDs/DIDs) using "On-board Diagnostic Principles" and communication services.
  • Organize and approve requirements written by other group members.
  • Maintain privacy impact assessments for the data that the group collects and uses.
  • Manage the data element tracking and sourcing strategy for the chassis space, including establishing required data elements, documenting source databases and tables, and proposing proper collection cadences.
  • Develop and manage supplier data-sharing contracts.
  • Develop and manage requirements for the data collection initiatives, capabilities, and features throughout the group by working with our IT teams to
  • Demonstrate exceptional communication skills while reporting out to leadership (on a regular cadence) the progress of diagnostics and analytics development.
  • Lead failure mode effects analysis and test regime discussions with our diagnostics and analytics developers.

Your Skills & Abilities (Required Qualifications):
(Required for Level 6)
  • Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
  • 3+ years of experience utilizing data analysis methods and success solving complex problems.
  • 2+ years of experience of working with vehicle telematics data, on-board diagnostics, or serial data.
  • Sufficiency using relevant programming languages: Python, SQL, Scala, & R.
  • Proficiency using the Databricks platform.
  • Familiarity with data and analytics architecture and principles.
  • Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.
  • Familiarity with data governance principles.
  • Capable of converting ambiguous problem statements into concrete project requirements.
  • Passion for data driven results and customer initiatives.

(Required for Level 7)
  • Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
  • 5+ years of experience utilizing data analysis methods and success solving complex problems.
  • 2+ years of experience of working with vehicle telematics data, on-board diagnostics, or serial data.
  • Sufficiency using relevant programming languages: Python, SQL, Scala, & R.
  • Proficiency using the Databricks platform.
  • Familiarity with data and analytics architecture and principles.
  • Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.
  • Familiarity with data governance principles.
  • Capable of converting ambiguous problem statements into concrete project requirements.
  • Passion for data driven results and customer initiatives.

What Will Give You A Competitive Edge (Preferred Skills):
(Preferred for Level 6)
  • Master's of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
  • Chassis sub-system understanding (i.e. braking, vehicle dynamics, steering, and/or suspension systems).
  • Proficiency using relevant programming languages: Python, SQL, Scala, & R.
  • Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.
  • Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github.

(Preferred for Level 7)
  • Master's of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
  • 8+ years of experience utilizing data analysis methods and success solving complex problems.
  • Chassis sub-system understanding (i.e. braking, vehicle dynamics, steering, and/or suspension systems).
  • Proficiency using relevant programming languages: Python, SQL, Scala, & R.
  • Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.
  • Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github.
  • Experience with data sharing agreements and privacy impact assessments.

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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
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.

Working at General Motors

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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

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