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Data Engineer, Analytics (Technical Leadership)

Meta· Data Engineering
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Menlo Park, CA$253k - $314kFull-timePosted 3w ago

About the role

Technical leadership role within Meta's Data Engineering team focusing on data foundation, analytics, and cross-functional collaboration with product managers, data scientists, and software engineers to support large-scale data platforms across Meta products.

Responsibilities

  • Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision
  • 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
  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
  • Define and manage SLA 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 use cases across different products or domains
  • Solve our most challenging data integrations 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 providing actionable feedback and fostering a culture of continuous improvement

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of experience in the data warehouse space
  • 12+ years of experience in custom ETL design, implementation, and maintenance
  • 12+ years of experience with object-oriented programming languages
  • 12+ years of experience with schema design and dimensional data modeling
  • 12+ years of experience in authoring SQL statements
  • Experience analyzing data to identify deliverables, gaps and inconsistencies
  • Experience managing and communicating data warehouse plans to internal clients

Skills

Required:Data modelingETL design and implementationSQL
Nice to have:Data governance and securityPython

Benefits

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

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