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Data Engineering Manager, Analytics

Meta

$173,000 - $242,000
Aug 30, 2025
Redmond, WA, US
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Meta is looking to solve the problem of building the data architecture that informs and drives insight to support product launches and roadmaps, and to improve company growth and user satisfaction.

Requirements

  • Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
  • Data architecture experience
  • Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
  • Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
  • Experience with data sets, Hadoop, and data visualization tools
  • Advanced degree in Computer Science, Math, Physics, or other technical fields
  • Experience in a consumer web or mobile company

Responsibilities

  • Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
  • Build and lead a high-quality BI and Data Warehousing team, designing it to scale
  • Design, build, and launch new data models and pipelines in production
  • Deliver high-impact dashboards and data visualizations
  • Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
  • Manage data warehouse plans, drive data quality, and ensure operational efficiency
  • Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs

Other

  • A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
  • 8+ years of experience in BI and Data Warehousing
  • Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
  • Project management experience
  • 2+ years of experience managing people with experience scaling and managing 3+ person teams
  • Experience communicating results of analysis to executive leadership