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Data Engineer, Product Analytics

Meta

$145,000 - $204,000
Aug 22, 2025
Fremont, CA, US
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At Meta, the business problem is to shape the future of people-facing and business-facing products across its family of applications by leveraging data to optimize growth, strategy, and user experience for billions of users and millions of businesses. This involves designing and building extensive data sets, identifying and solving complex data challenges at scale, and ensuring data drives product development and innovation.

Requirements

  • 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C-Sharp, Scala, etc.)

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 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 Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

Other

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • Master's or Ph.D degree in a STEM field