Data Engineer, Product Analytics

Meta is seeking a Data Engineer for their Product Analytics team to shape the future of their family of applications including Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. This role combines technical expertise with strategic product influence, working on data solutions that impact billions of users worldwide.

The position involves designing and implementing scalable data architectures, creating sophisticated data models, and building robust ETL pipelines. You'll work closely with cross-functional teams including software engineers, data scientists, and product managers to drive data-informed decisions and product improvements.

As a Data Engineer at Meta, you'll be responsible for handling some of the world's largest datasets, ensuring data quality and security while optimizing for efficiency. The role requires both technical depth in data engineering and the ability to communicate insights effectively to stakeholders.

Key technical responsibilities include:

• Architecting data solutions for large-scale projects
• Implementing ETL patterns and frameworks
• Creating data models and visualizations
• Optimizing complex data pipelines
• Ensuring data security and privacy compliance

The ideal candidate will have:

• Strong programming skills in SQL and languages like Python
• Experience with data modeling and ETL processes
• Bachelor's degree in Computer Science or related field
• 4+ years of hands-on data engineering experience

Meta offers a competitive compensation package including base salary range of $145,000-$204,000, plus bonus, equity, and comprehensive benefits. This role provides an opportunity to work on challenging data problems at unprecedented scale while contributing to products used by billions of people globally.

The position is based in Sunnyvale, CA, and offers the chance to join Meta's world-class data engineering community, with strong emphasis on professional development and career growth opportunities. You'll be part of shaping how billions of people connect and interact while working with cutting-edge data technologies and practices.