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Google Database Engineer Jobs (NOW HIRING)

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

... databases and the AI journey on Google Cloud Platform (GCP). You will act as a technical leader ... Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

... databases and the AI journey on Google Cloud Platform (GCP). You will act as a technical leader ... Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

... databases and the AI journey on Google Cloud Platform (GCP). You will act as a technical leader ... Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first ...

Entarian

Power BI Database Engineer

Arlington, VA · On-site +1

... oracle databases. Technical Skills: * Proficiency in Power BI Desktop, DAX programming, data ... Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. * Good ...

Kyndryl

Database Engineer/Administrator/Analyst

Dallas, TX · On-site

$73K - $139K/yr

This role is not just about code and databases; it's about transforming raw data into actionable ... Google CloudProfessional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate ...

Hikinex

... Google BigQuery). • Familiarity with containerized database deployment (Docker, Kubernetes ... Programming & Scripting: • Proficiency in Python, SQL, and shell scripting for automation and ...

Agelix Consulting

Database Developer

Washington, DC · On-site

Senior Database Developer Washington DC Clearance: Public Trust Clearance or Above Education ... Familiarity with cloud-based database platforms (AWS, Azure, Google Cloud). Strong knowledge of ...

Airwallex

Senior Software Engineer - Database

Seattle, WA · On-site

$140K - $240K/yr

Experience with Google CloudSQL and/or Google Memorystore specifically. * Experience building internal developer platforms, database-as-a-service systems, or self-service infrastructure tooling.

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Google Database Engineer information

See salary details

$60.5K

$122.1K

$167.5K

How much do google database engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for google database engineer in the United States is $122,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $140,000.00 per year, depending on experience, location, and employer.

What does a Google Database Engineer do?

A Google Database Engineer is responsible for designing, building, managing, and optimizing databases that support Google's diverse products and services. They work to ensure the reliability, scalability, and performance of data storage systems, often collaborating with software engineers and product teams. Their duties include database schema design, performance tuning, troubleshooting, and implementing security best practices. They may also work with cloud-based database solutions and contribute to open-source database technologies.

What are the key skills and qualifications needed to thrive as a Google Database Engineer?

To thrive as a Google Database Engineer, you need a strong background in database architecture, SQL and NoSQL systems, and computer science fundamentals, often supported by a relevant degree and professional experience. Familiarity with Google Cloud Platform (GCP), database management tools like BigQuery and Cloud SQL, and certifications such as Google Cloud Certified - Professional Data Engineer are typically required. Problem-solving, attention to detail, and effective communication are standout soft skills for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are crucial for designing scalable, reliable database solutions that support Google's high-performance infrastructure and products.

What are some common challenges faced by Google Database Engineers when managing large-scale data systems?

Google Database Engineers often encounter challenges related to scalability, reliability, and data consistency when managing large-scale data systems. Dealing with vast amounts of data requires careful planning of database architecture to ensure high performance and minimal downtime. Engineers must also collaborate closely with software developers and site reliability teams to optimize queries, automate backup processes, and implement robust disaster recovery solutions. Staying updated with the latest technologies and best practices is essential to address evolving data storage and processing needs.

What is the difference between Google Database Engineer vs Database Administrator?

AspectGoogle Database EngineerDatabase Administrator
CredentialsRelevant degrees, certifications like Google Cloud certifications, SQL knowledgeDatabase management certifications, SQL expertise, sometimes vendor-specific certifications
Work EnvironmentCloud-based infrastructure, large-scale data systems, Google Cloud PlatformOn-premises or cloud environments, managing databases for organizations
Industry UsageTech companies, cloud service providers, large enterprises using Google CloudVarious industries including finance, healthcare, retail, managing enterprise databases

The Google Database Engineer focuses on designing, implementing, and maintaining databases within Google Cloud environments, emphasizing cloud architecture and scalability. In contrast, a Database Administrator manages and maintains databases across different platforms, ensuring data integrity, security, and performance. Both roles require strong SQL skills and database knowledge but differ mainly in their work environment and specific cloud or on-premises focus.

More about Google Database Engineer jobs

What job categories do people searching Google Database Engineer jobs look for?

The top searched job categories for Google Database Engineer jobs are:

Google Database Engineer jobs near you
Infographic showing various Google Database Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $122,112 per year, or $58.7 per hour.

GCP Data Engineer

Stefanini Group

Dearborn, MI • On-site

$61 - $66/hr

Contractor

Re-posted 11 days ago

Job description

Details:
Stefanini Group is hiring!
Stefanini is looking for a GCP Database Engineer(Dearborn, MI)
For quick apply, please reach out to Adil Khan at 248-728- 6424/ adil.khan@stefanini.com
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 (GCP). 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.
Job Requirements
Details:
Responsibilities
  • Lead 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 GCP 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 GCP.
  • 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 Required
  • GCP

Skills Preferred
  • Artificial Intelligence & Expert Systems

Experience Required
  • 6+ years of experience in IT; 4+ years in development.
  • 5+ years in database engineering with a focus on GCP AI enablement.
  • Experience with Gemini Enterprise and understanding of MCP or equivalent patterns.
  • Hands-on experience with GCP databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.
  • Knowledge of GCP IAM, encryption, and CI/CD practices.
  • Experience building Internal Developer Platforms (IDPs).
  • GCP 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 Required
  • Bachelor's Degree

Education Preferred
Certfication 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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Pay Range:
$ 61.00 - $ 66.00

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