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Google Warehouse Jobsexternal in Michigan (NOW HIRING)

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Warehouses * Data Lakes * Lakehouse Architectures * Strong understanding of data modeling ... Google Cloud Platform (Google Cloud Platform) * BigQuery * Python * GitHub * Data Engineering * ETL ...

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Skills RequiredData/Analytics, Data Warehousing, Data Modeling Skills PreferredGoogle Cloud Platform (Google Cloud Platform) Experience Required4+ years of data engineering work experienceExperience ...

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply ... data warehouses, data lakes, and streaming platforms.Lead the creation, maintenance, and ...

Cloud Computing: Expertise with Google Cloud Platform (GCP) data services, including BigQuery ... Data Warehousing: Understanding of data warehousing concepts and principles. * Data Governance:

Take ownership of your assigned shifts, including warehouse and kitchen processes, safety ... You are at least 18 years of age. * You're organized and proficient in Google Docs and Google ...

Required : • 8-10 years' Experience in Data warehouse and Data lake implementation. • 3-5 years of experience in Google Cloud Platform (especially Big Query). • 3-5 years of working experience ...

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Google Warehouse information

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How much do google warehouse jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for google warehouse in Michigan is $15.09, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $15.91 per hour, depending on experience, location, and employer.

What is a Google Warehouse?

A Google Warehouse job typically involves managing inventory, organizing shipments, and ensuring efficient storage of products and equipment used by Google. These roles may include responsibilities like receiving deliveries, stocking supplies, and preparing items for distribution. Depending on the location, some positions may also involve working with logistics teams to streamline operations. Warehouse jobs at Google help support the company's vast infrastructure, ensuring that necessary materials are available where and when they are needed.

What skills and qualifications are needed for a Google Warehouse?

To excel in a Google Warehouse position, candidates should have experience in inventory management, order fulfillment, material handling, and safe operation of warehouse equipment, often supported by a high school diploma or equivalent. Familiarity with warehouse management systems (WMS), barcode scanners, and safety certifications such as OSHA are typically required. Strong attention to detail, teamwork, dependability, and effective communication make individuals stand out in this environment. These skills and qualities are essential for maintaining accuracy, efficiency, and a safe working atmosphere in a fast-paced warehouse setting.

What opportunities for career advancement are available in a Google Warehouse?

Starting in a Google Warehouse position, employees often gain exposure to various logistics and supply chain functions, opening the door for growth into lead, supervisor, or operations management roles. Google values internal development and offers training programs to help team members expand their skills. Advancement typically comes with demonstrated reliability, initiative, and the ability to consistently meet or exceed performance goals. Team members who show leadership qualities and a willingness to take on additional responsibilities are often considered for promotions and lateral moves within the broader Google operations network.

What are the most commonly searched types of Google Warehouse jobs in Michigan?

The most popular types of Google Warehouse jobs in Michigan are:

What are popular job titles related to Google Warehouse jobs in Michigan?

For Google Warehouse jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Google Warehouse jobs in Michigan look for?

The top searched job categories for Google Warehouse jobs in Michigan are:

What cities in Michigan are hiring for Google Warehouse jobs?

Cities in Michigan with the most Google Warehouse job openings:

Infographic showing various Google Warehouse job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $31,379 per year, or $15.1 per hour.

Google Cloud Platform Data Engineer

Apex Systems

Dearborn, MI • On-site

$105K - $126K/yr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago


Job description

Job#: 3046112
Job Description:
Role: Google Cloud Platform Data Engineer
Location: Hybrid - 4 days/week in our SE Michigan office
Duration: 12+ months
Description:
The Data Engineer is responsible for designing, building, and maintaining scalable data solutions that support enterprise analytics, machine learning, and business intelligence initiatives. This role develops and optimizes data infrastructure, pipelines, and platforms that enable the efficient collection, storage, processing, and analysis of large volumes of structured and unstructured data.
The ideal candidate will possess strong expertise in cloud-based data engineering, data modeling, pipeline development, and modern data platforms, while partnering closely with business and technology stakeholders to deliver reliable, high-performing data solutions.
Key Responsibilities
  • Collaborate with business and technology stakeholders to understand current and future data requirements and translate them into scalable technical solutions.
  • Design, develop, and maintain reliable, efficient, and scalable data infrastructure supporting data collection, storage, transformation, and analytics.
  • Build and optimize end-to-end data pipelines, workflows, and data models to ensure accurate and efficient data processing.
  • Design, implement, and support enterprise data platforms, including data warehouses, data lakes, and lakehouse architectures.
  • Develop tools, frameworks, scripts, and automation capabilities that improve data engineering efficiency and reduce manual effort.
  • Create and maintain robust data integration solutions across multiple systems and sources.
  • Ensure data quality, performance, reliability, and scalability through monitoring, testing, and continuous optimization.
  • Partner with data scientists, analysts, and application teams to support advanced analytics and machine learning initiatives.
  • Identify opportunities to improve data architecture, pipeline performance, cost optimization, and operational efficiency.
  • Implement data governance, security, and best practices across the data ecosystem.

Required Qualifications
Data Engineering & Cloud Platforms
  • 5+ years of professional experience in Data Engineering.
  • Hands-on experience designing, developing, and maintaining modern data architectures and data platforms.
  • Strong experience with Google Cloud Platform (Google Cloud Platform) services and cloud-native data solutions.
  • Advanced knowledge of BigQuery for data warehousing, analytics, and large-scale data processing.

Programming & Automation
  • Strong proficiency in Python for data engineering, automation, and data pipeline development.
  • Experience developing reusable frameworks, scripts, and automation solutions.
  • Proficiency using GitHub and modern source control practices.

Data Architecture & Modeling
  • Experience designing and implementing:
    • Data Warehouses
    • Data Lakes
    • Lakehouse Architectures
  • Strong understanding of data modeling concepts and relational database design.
  • Experience building scalable ETL/ELT pipelines and data integration solutions.

Analytics & Machine Learning Enablement
  • Experience supporting machine learning and advanced analytics workloads through scalable data solutions.
  • Ability to work with large, complex datasets to support business intelligence and predictive analytics initiatives.

Preferred Qualifications
  • Experience with machine learning frameworks such as:
    • TensorFlow
    • Scikit-learn
  • Understanding of algorithms and statistical modeling techniques.
  • Experience supporting data science and AI/ML initiatives.
  • Exposure to real-time or streaming data architectures.
  • Experience implementing enterprise-scale data governance and data quality solutions.

Required Skills
  • Google Cloud Platform (Google Cloud Platform)
  • BigQuery
  • Python
  • GitHub
  • Data Engineering
  • ETL/ELT Development
  • Data Pipelines
  • Data Warehousing
  • Data Lakes
  • Data Modeling
  • Machine Learning Enablement

Preferred Skills
  • TensorFlow
  • Scikit-learn
  • Algorithms
  • Relational Databases
  • Advanced Data Modeling
  • Data Lakehouse Architecture

Education
Required
  • Master's Degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical field

Preferred
  • Advanced certifications in Cloud, Data Engineering, Analytics, or Machine Learning

EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
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