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Entry Data Engineer Jobs in Michigan (NOW HIRING)

Aampower

Customs Analyst

Detroit, MI · Hybrid

Gathering and analyzing daily broker files, entry packets and ACE data related to imports and ... engineering roots with global manufacturing capabilities and an entrepreneurial spirit to move ...

Aptiv PLC

Customs Specialist

Troy, MI · On-site

... and engineering excellence. We are looking for talented individuals who are excited by the ... US Post Entry Corrections & Data Retention * Perform Duty Rate Analysis * Entry Data Analysis ...

Aptiv

Customs Specialist

Troy, MI · On-site

... and engineering excellence. We are looking for talented individuals who are excited by the ... US Post Entry Corrections & Data Retention * Perform Duty Rate Analysis * Entry Data Analysis ...

AECOM

Geologist/Environmental Scientist

Novi, MI · On-site

... engineers, scientists, digital innovators, program and construction managers and other ... Supporting office tasks, including data entry, data analysis, report preparation, and maintenance ...

AECOM

Geologist/Environmental Scientist

Novi, MI · On-site

... engineers, scientists, digital innovators, program and construction managers and other ... Supporting office tasks, including data entry, data analysis, report preparation, and maintenance ...

AECOM

Geologist/Environmental Scientist

Novi, MI · On-site

... engineers, scientists, digital innovators, program and construction managers and other ... Supporting office tasks, including data entry, data analysis, report preparation, and maintenance ...

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Showing results 21-40

All JobsEntry Data Engineer JobsEntry Data Engineer Jobs in Michigan

Entry Data Engineer information

See Michigan salary details

$9

$16

$24

How much do entry data engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry data engineer in Michigan is $16.97, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $19.09 per hour, depending on experience, location, and employer.

What does an entry data engineer do?

An Entry Data Engineer is responsible for assisting in the design, development, and maintenance of data pipelines and databases. They work with raw data, helping to clean, organize, and prepare it for analysis by more senior engineers or data scientists. Their tasks often include writing basic SQL queries, automating data collection processes, and supporting data quality initiatives. Entry-level data engineers typically work under the guidance of more experienced team members to learn best practices and develop their technical skills.

What are the key skills and qualifications needed to thrive as an entry data engineer?

To thrive as an Entry Data Engineer, you need a solid understanding of programming (often Python or SQL), data structures, and database fundamentals, typically supported by a relevant degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or Azure), and version control systems like Git is commonly required. Strong analytical thinking, attention to detail, and effective communication help you collaborate with teams and troubleshoot data issues. These skills are crucial to ensure high-quality, efficient data pipelines and enable data-driven decision-making within organizations.

What are some common challenges faced by entry data engineers during their first year on the job?

Entry-level data engineers often encounter challenges such as learning new data pipeline tools, understanding complex legacy systems, and adapting to the fast pace of data-driven environments. Balancing requests from multiple stakeholders and ensuring data accuracy can also be demanding, especially when dealing with large datasets. However, most teams provide mentorship and training to help new hires get up to speed, and collaboration with experienced engineers is encouraged to support skill development.

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

AspectEntry Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; knowledge of SQL, Python, ETL toolsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting teams, data visualization tools
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, consulting, retail

Entry Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data to generate insights. Both roles require SQL and data handling skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on analysis and reporting.

What are popular job titles related to Entry Data Engineer jobs in Michigan?

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

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

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

Entry Data Engineer jobs near you
Infographic showing various Entry Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $35,303 per year, or $17 per hour.

Sr. Business Analyst - Data Analytics, Visualization & AI Solutions

General Motors

Warren, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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 6,301 frontline employees who took The Breakroom Quiz

Job description

Job Description

The Role

The Propulsion Business Analyst will serve as a strategic partner to business leaders by transforming complex data into actionable insights, interactive visualizations, and intelligent automation solutions. This role combines expertise in business analytics, dashboard development, AI agent creation, and data visualization across Microsoft and Google platforms to drive operational efficiency, decision-making, and business performance.


The ideal candidate will possess strong analytical skills, experience designing enterprise reporting solutions, and the ability to leverage artificial intelligence technologies to automate workflows and improve business processes.

What You'll Do

Business Analytics & Insights

  • Analyze large and complex datasets to identify trends, risks, opportunities, and performance drivers.
  • Develop data models and analytical frameworks to support business strategy and operational excellence.
  • Translate business challenges into actionable data-driven recommendations.
  • Define, track, and monitor key business performance indicators.
  • Utilize advanced analytics techniques to identify optimization opportunities and business risks.


Dashboard Development & Data Visualization

  • Design, develop, and maintain interactive dashboards and reporting solutions using:
  • Microsoft Power BI
  • Google Looker Studio
  • Google Analytics
  • Tableau
  • Create executive-level visualizations that simplify complex business information
  • Develop scalable reporting solutions that automate data refreshes and improve data accessibility.
  • Ensure reporting governance, metric consistency, and data quality standards.


AI Agent Development & Automation

  • Design, build, and deploy AI agents using platforms such as:
  • Microsoft Copilot Studio
  • Google Vertex AI
  • Google Gemini
  • Azure AI Services
  • Google Agent Builder
  • Power Platform
  • Develop AI-powered assistants that enhance employee productivity and decision-making.
  • Identify opportunities to automate business processes using AI and workflow automation tools.
  • Integrate AI solutions with enterprise data sources and business applications.


Data Management & Engineering Support

  • Extract, transform, and analyze data from ERP, CRM, manufacturing, supply chain, and financial systems.
  • Utilize tools such as:
    • SQL
    • Python
    • Power Query
    • Google BigQuery
    • Microsoft Fabric
  • Partner with IT and data engineering teams to establish scalable data pipelines and architectures.
  • Support data governance, master data management, and data quality initiatives.

Stakeholder Engagement

  • Gather business requirements and translate them into scalable analytics and automation solutions.
  • Present findings and recommendations to executive leadership and operational stakeholders.
  • Train users on dashboards, AI tools, and self-service analytics capabilities.
  • Serve as a trusted advisor for data-driven decision-making and digital transformation initiatives.

Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Business Analytics, Data Science, Information Systems, Engineering, Computer Science, or related field.
  • 5+ years of experience in business analytics, business intelligence, data visualization, or digital transformation.
  • Advanced proficiency in one or more visualization platforms:
  • Power BI
  • Looker Studio
  • Tableau
  • Experience with Google Cloud Platform (GCP) and/or Microsoft Azure environments.
  • Experience developing AI agents, copilots, chatbots, or workflow automations.
  • Strong SQL and data modeling capabilities.
  • Experience with Google BigQuery or enterprise data warehouses
  • Strong communication, project management, and stakeholder engagement skills.

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Experience with:
  • Google Vertex AI
  • Gemini AI
  • Agent Builder
  • Looker
  • Google Analytics 4 (GA4)
  • Microsoft Fabric
  • Power Automate
  • Azure AI Services
  • Python, R, or machine learning experience.
  • Knowledge of predictive analytics and generative AI technologies.
  • Experience in automotive, manufacturing, supply chain, purchasing, logistics, or operations environments.
  • Professional certifications in:
  • Google Cloud Professional Data Analytics
  • Google Cloud Professional Machine Learning Engineer
  • Microsoft Power BI Data Analyst Associate
  • Microsoft AI Engineer Associate
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 may be eligible for relocation benefits.

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.

Working at General Motors

What General Motors employees say

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Get the full story on Breakroom

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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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