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 with massive datasets that impact billions of users worldwide.

The position offers a unique opportunity to tackle data challenges at an unprecedented scale, working within Meta's world-class data engineering community. You'll be responsible for building and optimizing data artifacts, refining systems, designing logging solutions, and creating scalable data models that drive product decisions across Meta's platforms.

As a Data Engineer, you'll collaborate closely with software engineering, data science, and product management teams to design and implement scalable data solutions. Your work will directly impact Meta's 3 billion plus users and internal employee community, focusing on growth, strategy, and user experience optimization.

The role demands both technical excellence and strong communication skills. You'll need to translate complex data insights into compelling stories that influence product development and strategic decisions. You'll be expected to maintain high standards for data security, quality, and efficiency while suggesting innovative approaches to complex analytical problems.

This position offers the opportunity to work at the intersection of big data and product development, making a significant impact on some of the world's most widely-used social technology platforms. The ideal candidate will combine strong technical skills with business acumen and the ability to influence cross-functional teams through data-driven insights.

Working at Meta means joining a company at the forefront of social technology innovation, with opportunities to shape the future of digital connection. The role offers professional growth within a supportive data engineering community and the chance to work on challenges few other companies can match in terms of scale and complexity.