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Meta Database Engineer Jobs (NOW HIRING)

Fuse Energy

Database Reliability Engineer

... behind Meta, Revolut, Spotify and Uber. We're building a fully integrated energy company ... We're hiring a Database Reliability Engineer to own the reliability, performance and scalability of ...

Meta

Software Engineer, Databases

Menlo Park, CA

$183K/yr

Meta is seeking a Software Engineer specializing in systems software to drive technical direction ... Experience leading database migrations, schema evolution, or platform modernization efforts in ...

Meta

Software Engineer, Databases

Bellevue, WA · On-site

$183K/yr

Meta is seeking a Software Engineer specializing in systems software to drive technical direction ... Experience leading database migrations, schema evolution, or platform modernization efforts in ...

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As of Sep 13, 2026, the average yearly pay for meta 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.

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Infographic showing various Meta 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.

Software Engineer, Databases (Technical Leadership)

Menlo Park, CA • On-site, Remote

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$219K/yr

Full-time

Re-posted 6 days ago

Key responsibilities

  • Define and drive the long-term technical vision and architecture for Meta's MySQL infrastructure, including the MyRocks storage engine and MyRAFT replication layer

  • Architect database system enhancements to support Meta's evolving AI workloads and large-scale data requirements

  • Identify and resolve complex database-level performance, reliability, and correctness challenges across storage, replication, query execution, and transaction processing

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is seeking a distinguished Software Engineer specializing in database internals to drive the technical direction of our MySQL infrastructure that powers Meta's family of products and platforms. In this role, you will architect and evolve critical database systems within our MySQL team — including our custom storage layer (MyRocks) and replication layer (MyRAFT) — that underpin billions of user interactions daily. You will identify and solve the hardest database-level challenges across the organization, define multi-year technical strategy to adapt our relational database systems to support Meta's AI needs, and serve as a force multiplier for engineering teams through deep database expertise, AI-native workflows, and cross-functional leadership.
Software Engineer, Databases (Technical Leadership) Responsibilities:
  • Define and drive the long-term technical vision and architecture for Meta's MySQL infrastructure, including the MyRocks storage engine and MyRAFT replication layer
  • Architect database system enhancements to support Meta's evolving AI workloads and large-scale data requirements
  • Identify and resolve the most complex database-level performance, reliability, and correctness challenges that span storage, replication, query execution, and transaction processing
  • Lead the design and implementation of critical database internals — including storage engine optimizations, replication protocols, query planning, and transaction management — ensuring correctness, efficiency, and long-term maintainability
  • Establish extensible technical foundations, coding standards, and architectural patterns that improve consistency and velocity across database engineering teams
  • Develop and operationalize testing frameworks, verification methodologies, and data integrity checks that prevent database bugs and reliability regressions at scale
  • Leverage AI tooling and automation to optimize database performance, accelerate development workflows, and identify optimization opportunities
  • Partner with product, infrastructure, and platform engineering teams to translate complex database requirements into durable technical designs, influencing roadmaps across organizational boundaries
  • Define and track database-level metrics, SLOs, and performance guardrails that connect engineering outcomes to organization-level priorities
  • Mentor engineers across the organization on database design principles, query optimization techniques, and storage engine internals

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of experience in database systems engineering, including design and implementation of database internals such as storage engines, replication systems, query optimizers, or transaction processing
  • Experience working on database teams in the industry, with deep expertise in database architecture and internals
  • Experience architecting and owning large-scale database infrastructure used across multiple teams or organizations, including driving multi-year technical roadmaps
  • Experience identifying and resolving complex database performance, reliability, or correctness issues spanning storage, replication, or query execution layers
  • Experience defining engineering standards, architectural patterns, and verification methodologies that improve database system quality and consistency
  • Experience communicating complex database architecture and technical strategy in writing and presentations to both technical and non-technical stakeholders

Preferred Qualifications:
  • Experience applying AI and machine learning techniques to database optimization problems, such as query optimization, workload prediction, or automated performance tuning
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with distributed database systems, consensus protocols (such as Raft or Paxos), or building highly available data infrastructure
  • Experience leading database migrations, schema evolution, or platform modernization efforts in large-scale production environments
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with database internals, like storage engines

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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