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Google Coding Jobs in Michigan (NOW HIRING)

Stefanini

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 ... Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and ...

Stefanini

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 ... code, testing for quality, and deploying software to meet customer requirements. Full-stack ...

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Google Coding information

See Michigan salary details

$11

$28

$47

How much do google coding jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for google coding in Michigan is $28.78, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $34.76 per hour, depending on experience, location, and employer.

What is a Google coding?

A Google Coding job typically refers to a software engineering or developer role at Google, where employees design, develop, test, and maintain software products and systems. These roles require strong programming skills in languages like Python, Java, or C++, along with problem-solving and algorithm expertise. Engineers at Google work on a wide range of projects, including search algorithms, AI, cloud computing, and mobile applications.

What does a typical workday look like for someone in a Google coding role?

A typical day for someone in a Google Coding role involves writing, testing, and reviewing code, participating in team meetings such as daily standups or sprint planning, and collaborating closely with other engineers and cross-functional partners. You may also spend time conducting code reviews, troubleshooting technical challenges, and refining project requirements with product managers or designers. The work environment is dynamic, supportive, and oriented toward both individual contributions and teamwork. This structure ensures that engineers at Google have opportunities to learn from peers, contribute to impactful projects, and continually grow their technical and professional skills.

What are the key skills and qualifications needed to thrive in the Google coding position, and why are they important?

To thrive in a Google Coding role, candidates typically need a strong background in computer science, proficiency in programming languages such as Python, Java, or C++, and a degree in a relevant field. Comfort with version control systems like Git, familiarity with large-scale codebases, and experience using cloud technologies (such as Google Cloud Platform) are also advantageous. Outstanding problem-solving abilities, collaboration, and effective communication skills are important soft skills for excelling on engineering teams. These competencies enable innovation, efficient teamwork, and the development of high-quality, scalable software solutions at Google.

What are the most commonly searched types of Google Coding jobs in Michigan? The most popular types of Google Coding jobs in Michigan are:
What are popular job titles related to Google Coding jobs in Michigan? For Google Coding jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Google Coding jobs in Michigan look for? The top searched job categories for Google Coding jobs in Michigan are:
Google Coding jobs near you
Infographic showing various Google Coding 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 $59,864 per year, or $28.8 per hour.

Google Cloud Platform Data Engineer

Stefanini

Dearborn, MI • On-site

$105K - $126K/yr

Other

Re-posted 24 days ago

Job description


Stefanini Group is hiring!
Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI
For quick apply, please reach out to Lovkesh Bharti at /
We are responsible for designing, building, and maintaining data solutions, including data infrastructure and pipelines, for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately.
Key ResponsibilitiesCollaborate with business and technology stakeholders to understand current and future data requirements.Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis.Plan, design, build, and maintain scalable data solutions, including data pipelines, data models, and applications, for efficient and reliable data workflows.Design, implement, and maintain existing and future data platforms, including data warehouses, data lakes, and data lakehouses, for structured and unstructured data.Design and develop analytical tools, algorithms, and programs to support data engineering activities, including writing scripts and automating tasks.Ensure optimum performance and identify opportunities for improvement.Perform data ingestion for all types of data, data wrangling, and transformations, and land data in BigQuery.Work with stored procedures, triggers, data modeling, QlikView, Cloud Functions, Data Fusion, Astronomer, and Airflow.
Skills RequiredData/Analytics, Data Warehousing, Data Modeling
Skills PreferredGoogle Cloud Platform (Google Cloud Platform)
Experience Required4+ years of data engineering work experienceExperience with Google Cloud Platform (Google Cloud Platform) services, including cloud-native application development and deployment.Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot, to improve developer productivity.Knowledge of Agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and the use of large language models (LLMs) to automate software development and business processes.Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation.Familiarity with cloud AI services on Google Cloud Platform, such as Vertex AI, Gemini models, and AI APIs, is a plus.
Experience PreferredExperience with Google Cloud Platform (Google Cloud Platform) services, including cloud-native application development and deployment.Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot, to improve developer productivity.
Education RequiredBachelor's Degree
Education PreferredMaster's Degree
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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