Data Engineer, Meta Superintelligence Labs (Mobile Client)

About the role

Meta’s Products & Applied Research (PAR) team is where product-focused research meets real-world impact, taking breakthrough AI research and transforming it into products that reach billions. As part of Meta Superintelligence Labs (MSL), we’re driving the transformation of Meta’s core experiences—across Facebook, Instagram, WhatsApp, Threads, and beyond—by applying cutting-edge research to real-world products at massive scale. We are looking for a Data Engineer to join our PAR organization where your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience. You will own the client-side logging and measurement foundation for a consumer mobile application on iOS and Android. You will design and implement product and performance instrumentation directly in mobile codebases, and build the pipelines and metrics that allow product, engineering, and data science partners to measure engagement, funnels, latency, and product quality end to end. The instrumentation you own is the basis for the team's primary decision-making surfaces, so you will be accountable for the accuracy and reliability of measurement across the product. You will help shift client instrumentation from a manual, per-feature effort to a scalable capability — defining logging standards for each client surface, building tooling and automated validation, and enabling partner teams to implement high-quality instrumentation themselves as product velocity increases. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Responsibilities

• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
• Define and manage Service Level Agreements for all data sets in allocated areas of ownership
• Determine and implement the security model based on privacy requirements