Data Engineer, Product Analytics

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Data Engineer, Product Analytics Responsibilities

• Design, model, or implement data warehousing activities in order to contribute to the design and development of Meta products.
• 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, 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 visually 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 creating 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.
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Demonstrate
  good judgment in selecting methods and techniques for obtaining solutions.

Minimum Qualifications

• Requires a Master's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and three years of work experience in the job offered or in a computer-related occupation. Requires three years of experience in the following:
• 1. Custom ETL design, implementation, and maintenance
• 2. Object-oriented programming languages
• 3. Schema design and dimensional data modeling
• 4. Writing SQL statements
• 5. Analyzing data to identify deliverables, gaps and inconsistencies
• 6. Managing and communicating data warehouse plans to internal clients
• 7. Python.

LocationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $178,418/year to $196,900/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.