Senior Data Engineer at Meta Platforms, Inc.

Company Overview

Meta Platforms, Inc. (Meta), previously known as Facebook Inc., is dedicated to creating technologies that connect people, foster communities, and support business growth. Since its inception in 2004, Facebook has revolutionized the way people connect. With a family of products like Messenger, Instagram, and WhatsApp, we have empowered billions worldwide. Our goal now is to advance beyond 2D screens and develop immersive experiences such as augmented and virtual reality, paving the way for the next generation of social technology.

Senior Data Engineer Responsibilities

• Design, model, and implement data warehousing activities to deliver the data foundation that drives informed decision-making.
• Design, build, and launch sophisticated data models and visualizations that support various use cases across different products or domains.
• Collaborate with engineers, product managers, and data scientists to understand data needs and represent key data insights visually in a meaningful way.
• Define and manage SLA for all data sets within areas of ownership.
• Create and contribute to frameworks that improve the efficiency of data logging while working with data infrastructure to resolve issues.
• Determine and implement security models based on privacy requirements, ensuring safeguards are in place, addressing data quality issues, and evolving governance processes within areas of ownership.
• Solve challenging data integration problems using optimal ETL patterns, frameworks, query techniques, and sources from structured and unstructured data sources.
• Optimize pipelines, dashboards, frameworks, and systems for the easier development of data artifacts.
• Influence product and cross-functional teams to identify data opportunities that drive impact.
• Work on diverse scope problems where data analysis requires evaluation of identifiable factors.
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or related field and 60 months of progressive post-baccalaureate experience in a data-related occupation. Foreign equivalents are accepted.
• Five years of experience in the following areas:
  • Custom ETL design, implementation, and maintenance
  • Object-oriented programming languages
  • Schema design and dimensional data modeling
  • Writing SQL statements
  • Analyzing data to identify deliverables, gaps, and inconsistencies
  • Managing and communicating data warehouse plans to internal clients
  • Python programming

About Meta

Meta is passionate about building technologies that connect people, help communities grow, and support business expansion. Our journey started in 2004 with Facebook, changing the way people connect. Through products like Messenger, Instagram, and WhatsApp, we've empowered billions globally. Now, we're pushing boundaries by venturing into augmented and virtual reality, shaping the future of social technology.

At Meta, we offer our employees the opportunity to shape a future that transcends the current limits of digital connection. By building a career with us, you'll influence a future beyond the constraints of screens, the limits of distance, and even the rules of physics.

Compensation and Benefits

Meta is committed to offering reasonable support for candidates with disabilities, long-term conditions, mental health conditions, sincerely held religious beliefs, neurodivergence, or pregnancy-related needs. If you need support, please contact [email protected].

The salary range for this position is $209,720 to $235,400 per year, plus bonus, equity, and benefits. Individual pay is determined based on skills, qualifications, experience, and location. The listed compensation reflects only the base salary and does not include bonuses, equity, or sales incentives. Learn more about benefits at Meta.

Application Instructions

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