Data Engineer

Meta builds technologies that help people connect, find communities, and grow businesses through social platforms like Facebook, Instagram, WhatsApp, and immersive AR/VR experiences.
$182,000 - $196,900
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI · AR/VR · Social Media
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Description For Data Engineer

Meta (formerly Facebook) is seeking a Data Engineer to join their team in New York. This role is crucial in managing and executing data warehouse plans for Meta's suite of social technology products, including Facebook, Instagram, WhatsApp, and their emerging AR/VR platforms.

The position requires a skilled professional with 2 years of experience in data engineering, particularly in working with large-scale data systems (terabyte to petabyte scale). The ideal candidate will have strong expertise in SQL, ETL processes, and data modeling, along with proficiency in programming languages such as Python, C++, C#, or Scala.

As a Data Engineer at Meta, you'll be responsible for building and maintaining data infrastructure that powers insights across the company's products. Your role will involve collaborating with cross-functional teams, including engineers, product managers, and data scientists, to understand and fulfill data needs while ensuring data quality, privacy, and security.

Key responsibilities include designing and implementing data models, creating visualizations, managing ETL processes, and establishing SLAs for data sets. You'll work on solving complex data challenges while maintaining high standards for data governance and compliance.

Meta offers a competitive compensation package ranging from $182,000 to $196,900 per year, plus bonus and equity opportunities. The company provides comprehensive benefits and the chance to work on technologies that impact billions of users worldwide. This is an excellent opportunity for someone passionate about data engineering who wants to contribute to the next evolution of social technology, including Meta's ventures into augmented and virtual reality.

Last updated 2 months ago

Responsibilities For Data Engineer

  • Manage and execute data warehouse plans for products to solve well-scoped problems
  • Identify data needs and implement logging requirements
  • Collaborate with engineers, product managers and data scientists
  • Build data expertise and leverage data controls for privacy, security, and compliance
  • Design, build and launch new data models and visualizations
  • Design, build and launch new ETL processes
  • Support existing processes and implement optimized solutions
  • Define and manage SLA for data sets

Requirements For Data Engineer

Python
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related field
  • 2 years of experience with SQL
  • 2 years of experience with ETL
  • 2 years of experience with data modeling
  • Experience with Python, C++, C#, or Scala
  • Experience with data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, or data privacy
  • Experience working with terabyte to petabyte scale data

Benefits For Data Engineer

Medical Insurance
Equity
  • bonus
  • equity
  • benefits

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