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Data Engineer, Analytics (Ranking, AI)

Meta· Data Engineering
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Sunnyvale, CA$177k - $247kFull-timePosted 2mo ago

About the role

Data Engineer role in Meta's Ranking AI within the Monetization group, focusing on scalable data solutions, logging, governance, and data-driven product leadership to support billions of users and internal teams. Emphasis on turning research into production, building data architectures, and influencing cross-functional partners.

Responsibilities

  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 7+ years of experience where the primary responsibility involves working with data
  • 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Skills

Required:Data architectureLogging data frameworksData visualizationETLSQL

Benefits

  • Bonus
  • Equity
  • Benefits (as listed in company)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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