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Google Coding Jobs in Michigan (NOW HIRING)

Stefanini

Full Stack Developer

Dearborn, MI · On-site

Implement and manage infrastructure as code using Terraform for cloud resources on Google Cloud Platform. Develop and maintain CI/CD pipelines, utilizing tools like GitHub Actions, Tekton to automate ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

Build and enhance cloud-native applications, services, and workflows on Google Cloud Platform.Drive engineering quality through strong design, code reviews, testing, CI/CD automation, observability ...

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$11

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$47

How much do google coding jobs pay per hour?

As of Jul 14, 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.

Can we do coding in Google?

Google Coding typically refers to coding jobs at Google, where employees use programming languages like Python, Java, or C++ to develop software and applications. These roles often require strong coding skills, problem-solving abilities, and familiarity with tools like Google Cloud Platform. Coding is a core part of many positions at Google, and candidates usually need relevant experience and technical certifications.

What is a Google Coding job?

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 engineer makes 500,000 a year?

Senior software engineers at top tech companies like Google can earn $500,000 or more annually, especially when including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills in programming and system design, and often involves working in high-cost-of-living areas or holding leadership roles.

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 tech jobs pay $400,000 a year?

High-level tech roles such as senior software engineers, machine learning engineers, and technical architects at top companies like Google, Facebook, and Amazon can earn $400,000 or more annually, especially with bonuses, stock options, and extensive experience. These positions typically require advanced skills in programming, data structures, and system design, along with years of industry experience and often advanced degrees or certifications.

How much are Google coders paid?

Google software engineers, often referred to as coders, typically earn a base salary ranging from $100,000 to over $200,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and other benefits, with entry-level positions starting lower and senior roles earning significantly more.

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 July 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $59,864 per year, or $28.8 per hour.
Google Cloud Platform Data Engineer

Google Cloud Platform Data Engineer

Stefanini

Dearborn, MI • On-site

Other

Re-posted yesterday

Job description


Stefanini Group is hiring!
Stefanini is looking for a Google Cloud Platform Database Engineer(Dearborn, MI)
For quick apply, please reach out to Adil Khan at /
We are seeking a Senior Cloud Database Engineer to join our Platform Engineering team. This role focuses on defining strategy, architecture, and standardized 'golden paths' for cloud databases and the AI journey on Google Cloud Platform (Google Cloud Platform). You will act as a technical leader, shaping the vision and roadmap for our database platform, with a key focus on embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale.
ResponsibilitiesLead adoption of Gemini Enterprise for query generation, debugging, and schema optimization.Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions.Identify and implement AI-driven automation across the database lifecycle, including capacity planning, anomaly detection, and self-tuning.Partner with AI/ML teams to integrate ML, statistical models, and GenAI into data platform strategies.Build intelligent agents on database AI frameworks to improve fault detection and reduce OLTP costs.Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability.Promote well-documented, discoverable datasets.Align with GDPR and HIPAA frameworks; manage Google Cloud Platform IAM, service accounts, role bindings, and encryption.Apply reliability practices to ensure availability, fault tolerance, and disaster recovery.Lead query optimization, indexing strategies, and troubleshooting across distributed systems.Enable secure CI/CD pipelines for database code and configurations.Establish scalable, secure, self-service database architectures on Google Cloud Platform.Build and maintain Terraform templates for automated provisioning and lifecycle management.Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run.Develop complex data models and reliable ETL pipelines integrating multiple data sources.Advise engineering, data, and AI teams on best practices.Foster an AI-assisted, platform-first culture and mentor engineers.
Skills RequiredGoogle Cloud Platform
Skills PreferredArtificial Intelligence & Expert Systems
Experience Required6+ years of experience in IT; 4+ years in development.5+ years in database engineering with a focus on Google Cloud Platform AI enablement.Experience with Gemini Enterprise and understanding of MCP or equivalent patterns.Hands-on experience with Google Cloud Platform databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.Knowledge of Google Cloud Platform IAM, encryption, and CI/CD practices.Experience building Internal Developer Platforms (IDPs).Google Cloud Platform Professional Cloud Database Engineer or Data Engineer.Proficiency in Terraform and programming (Python/Java).Experience with Kubernetes (GKE) and database operators.Understanding of statistical analysis, data modeling, and ML libraries.
Education RequiredBachelor's Degree
Education PreferredCertfication Program
**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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