Meta - Los Angeles, CA

posted 2 months ago

Full-time - Mid Level
Los Angeles, CA
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About the position

As a Data Engineer in Product Analytics at Meta, you will play a crucial role in optimizing growth, strategy, and user experience for over 3 billion users globally. This position requires a high level of collaboration with software engineering, data science, and product management teams. You will be responsible for managing and executing data warehouse plans for specific products, ensuring that the data needed for business problems is identified and logged appropriately. Your work will have a direct impact on company growth and user satisfaction, allowing you to see the tangible results of your efforts. In this role, you will collaborate closely with engineers, product managers, and data scientists to understand their data needs and represent key insights in a meaningful way. You will build data expertise and leverage data controls to ensure privacy, security, compliance, and data quality in your areas of ownership. Additionally, you will design, build, and launch new data models and visualizations in production, utilizing common development toolkits. You will also independently design and implement new data extraction, transformation, and loading processes, mentoring others in efficient querying practices. Your responsibilities will include supporting existing processes running in production and implementing optimized solutions with limited guidance. You will define and manage service level agreements (SLAs) for data sets in your allocated areas of ownership, ensuring that data is available and reliable for business needs.

Responsibilities

  • Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
  • Identify the data needed for a business problem and implement logging required to ensure availability of data
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
  • Design, build and launch new data models and visualizations in production, leveraging common development toolkits
  • Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
  • Support existing processes running in production and implement optimized solutions with limited guidance
  • Define and manage SLA for data sets in allocated areas of ownership

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years of work experience in data engineering
  • Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Nice-to-haves

  • Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
  • Experience working with terabyte to petabyte scale data
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