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 offers an opportunity to work on some of the world's most extensive data sets, impacting billions of users and hundreds of millions of businesses worldwide.

The position requires a seasoned professional with 7+ years of experience in data engineering, combining technical expertise with strategic thinking. You'll be responsible for designing and implementing scalable data solutions, working closely with cross-functional teams including software engineering, data science, and product management.

As a Data Engineer at Meta, you'll be tackling complex challenges at unprecedented scale. Your responsibilities will span from conceptualizing data architecture to building sophisticated data models and visualizations. You'll need to ensure data security and quality while maintaining efficiency in all systems.

The role offers competitive compensation ranging from $173,000 to $242,000 per year, plus bonus, equity, and comprehensive benefits. You'll join Meta's world-class data engineering community, with opportunities for skill development and career growth.

Key aspects of the role include:

• Building optimal data artifacts and refining systems
• Designing logging solutions and creating scalable data models
• Using data to influence product development and identify new opportunities
• Collaborating with cross-functional teams to understand and address data needs
• Implementing security models and addressing data quality issues
• Optimizing complex code through advanced algorithmic concepts

The ideal candidate will have a Bachelor's degree in Computer Science or related field, strong programming skills particularly in SQL and Python, and extensive experience with ETL processes and data modeling. This role offers the opportunity to work on cutting-edge data challenges while contributing to products used by billions of people worldwide.