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Data Engineer Data Jobs in Howell, MI (NOW HIRING)

At Lineage, our Data Science team is transforming customer experience and commercial decision ... Work directly with vendors and engineering partners to define requirements,validatemodel outputs ...

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm ... Support Engineer II Location: Farmington Hills, MI Years of Experience: 1-3+ TOP SKILLS: Must Have

Feature & Data Strategy: * Guide design of features and data structures required for high-performing models. * Platform Collaboration: * Work closely with Platform Engineers on infrastructure ...

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How much do data engineer data jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data engineer data in Howell, MI is $154,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $159,100.00 per year, depending on experience, location, and employer.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What job categories do people searching Data Engineer Data jobs in Howell, MI look for? The top searched job categories for Data Engineer Data jobs in Howell, MI are:
What cities near Howell, MI are hiring for Data Engineer Data jobs? Cities near Howell, MI with the most Data Engineer Data job openings:

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

General Motors

Milford, MI

$90K - $118K/yr

Full-time

Re-posted yesterday


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 305 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,266 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)

WhatYou'llDo:

  • 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 YouACompetitive 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, email us 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