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Google Database Engineer Jobs (NOW HIRING)

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 ...

... 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 ...

... 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 ...

... 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 ...

Showing results 41-60

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 Sep 13, 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 are popular job titles related to Google Database Engineer jobs?

For Google Database Engineer jobs, the most frequently searched job titles are:

Infographic showing various Google Database Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $122,112 per year, or $58.7 per hour.

TS/SCI w/ Poly - Database Engineer (Multi DB/Multi Cloud)

Warrenton, VA • Hybrid

Leading Path Consulting
11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

*Active TS/SCI w/ Full Scope Poly required prior to application

This is a highly coveted, mission critical, Systems Engineer role supporting CTMC! Join our team to have "tip of the spear" impact!

Location is flexible between Tysons and Warrenton, VA

We are seeking a highly experienced Database Engineer with demonstrated expertise in relational database technologies across both on-premises and cloud environments. The ideal candidate will possess deep hands-on technical knowledge, strong engineering design, and the ability to collaborate effectively across infrastructure, application, security, and data teams.

This role requires advanced engineering expertise, documentation proficiency, design leadership, and cross-functional communication skills to support modernization, transformation, and operational excellence initiatives.

QUALIFICATIONS

Bachelor's Degree in Computer Science, IT, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience

Minimum ten (10) years of related database technologies experience

REQUIRED KNOWLEDGE/SKILLS

Candidates must demonstrate hands-on engineering expertise in the following relational database technologies (on-prem and cloud):

Relational Database Platforms

Microsoft SQL Server

Oracle Database

PostgreSQL (on-prem and cloud variants)

MySQL

Amazon RDS / Azure SQL Database / Google Cloud SQL

Cloud Platforms

Amazon Web Services (AWS)

Microsoft Azure

Google Cloud Platform (GCP)

Core Technical Competencies

Database architecture and engineering design

High Availability (HA) and Disaster Recovery (DR)

Performance tuning and query optimization

Backup and recovery strategies

Database security, encryption, and compliance

Migration from on-prem to cloud and hybrid environments

Linux and Windows server environments

Scripting and automation (PowerShell, Bash, Python)

CI/CD integration for database deployments

DESIRED SKILLS

Database containerization (Docker, Kubernetes)

Database monitoring tools (SolarWinds, Redgate, OEM, Cloud-native monitoring)

Data replication and distributed systems

Data warehouse platforms (Snowflake, Redshift, Azure Synapse)

ETL frameworks and tools

Infrastructure as Code (Terraform, ARM, CloudFormation)

Supporting federal government compliance frameworks

Knowledge of Zero Trust architectures

Supporting mission-critical or high-transaction environments

KEY RESPONSIBILITIES 

Serve as the Subject Matter Expert (SME) for relational database technologies

Document and analyze current-state (as-is) database environments while promptly coming up to speed

Develop comprehensive engineering design documents for modernization, optimization, and transformation initiatives for the database to align with the organization technical vision

Lead implementation of enhanced and future-state database architectures

Design, deploy, configure, optimize, secure, and maintain database platforms across hybrid environments

Collaborate closely with the department engineering teams, including Network, Storage, Windows and Linux Systems Operating, Cloud, Web Services, Software Development, Information Systems Security Officer (ISSO), and DevOps

Partner with Software Engineers, Data Engineers (ETL), Data Modelers, Data Scientists, and Data Analysts

Ensure high availability, performance tuning, security hardening, and compliance adherence

Provide database governance, standards, and best practices across the enterprise

Requirements

QUALIFICATIONS

Bachelor's Degree in Computer Science, IT, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience

Minimum ten (10) years of related database technologies experience

REQUIRED KNOWLEDGE/SKILLS

Candidates must demonstrate hands-on engineering expertise in the following relational database technologies (on-prem and cloud):

Relational Database Platforms

Microsoft SQL Server

Oracle Database

PostgreSQL (on-prem and cloud variants)

MySQL

Amazon RDS / Azure SQL Database / Google Cloud SQL

Cloud Platforms

Amazon Web Services (AWS)

Microsoft Azure

Google Cloud Platform (GCP)

Core Technical Competencies

Database architecture and engineering design

High Availability (HA) and Disaster Recovery (DR)

Performance tuning and query optimization

Backup and recovery strategies

Database security, encryption, and compliance

Migration from on-prem to cloud and hybrid environments

Linux and Windows server environments

Scripting and automation (PowerShell, Bash, Python)

CI/CD integration for database deployments

DESIRED SKILLS

Database containerization (Docker, Kubernetes)

Database monitoring tools (SolarWinds, Redgate, OEM, Cloud-native monitoring)

Data replication and distributed systems

Data warehouse platforms (Snowflake, Redshift, Azure Synapse)

ETL frameworks and tools

Infrastructure as Code (Terraform, ARM, CloudFormation)

Supporting federal government compliance frameworks

Knowledge of Zero Trust architectures

Supporting mission-critical or high-transaction environments

KEY RESPONSIBILITIES 

Serve as the Subject Matter Expert (SME) for relational database technologies

Document and analyze current-state (as-is) database environments while promptly coming up to speed

Develop comprehensive engineering design documents for modernization, optimization, and transformation initiatives for the database to align with the organization technical vision

Lead implementation of enhanced and future-state database architectures

Design, deploy, configure, optimize, secure, and maintain database platforms across hybrid environments

Collaborate closely with the department engineering teams, including Network, Storage, Windows and Linux Systems Operating, Cloud, Web Services, Software Development, Information Systems Security Officer (ISSO), and DevOps

Partner with Software Engineers, Data Engineers (ETL), Data Modelers, Data Scientists, and Data Analysts

Ensure high availability, performance tuning, security hardening, and compliance adherence

Provide database governance, standards, and best practices across the enterprise

Benefits

Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!