Data Engineer, Analytics

Meta (formerly Facebook) is seeking a Data Engineer, Analytics to join their team in Menlo Park, CA. This role sits at the intersection of big data, analytics, and business intelligence, requiring both technical expertise and business acumen.

The position demands a Master's degree and 3 years of relevant experience, combining theoretical knowledge with practical application in data engineering. You'll be working with Meta's vast data ecosystem, supporting products that billions of people use daily, including Facebook, Instagram, WhatsApp, and their emerging AR/VR technologies.

As a Data Engineer, you'll be responsible for designing and implementing data warehousing solutions, creating sophisticated data models, and building robust ETL pipelines. You'll work closely with cross-functional teams, including engineers, product managers, and data scientists, to deliver data-driven insights that influence product decisions.

The role offers competitive compensation ranging from $192,036 to $196,900 annually, plus bonus and equity opportunities. You'll be working at Meta's Menlo Park headquarters, contributing to the company's mission of connecting people and building the future of social technology.

Key responsibilities include managing data SLAs, implementing security models, optimizing data pipelines, and solving complex data integration challenges. You'll need strong skills in Python, SQL, and data modeling, along with experience in big data ecosystems and ETL processes.

This is an excellent opportunity for someone who wants to work with cutting-edge technology at scale, while contributing to products that impact billions of users worldwide. Meta offers a comprehensive benefits package and maintains a strong commitment to diversity, equality, and inclusion in their hiring practices.

The ideal candidate will combine technical expertise with problem-solving abilities, demonstrating good judgment in selecting methods and techniques for obtaining solutions. You'll be part of Meta's journey beyond traditional social media into the next evolution of social technology, including augmented and virtual reality experiences.