Data Engineer, Meta Superintelligence Labs (Privacy)

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, privacy, research, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience. You will own the privacy architecture for large-scale data pipelines that support AI model development. You will design and enforce the controls that determine whether data is permissible to use — consent and jurisdiction logic, personal-information filtering and anonymization, deletion and retention semantics, and access controls for sensitive fields. You will build these guarantees to be structural rather than manual: enforced automatically at write time, validated in continuous integration, and designed so that processing halts rather than proceeds when a control cannot be applied. You will set the privacy engineering standards that other data engineers build against, define how new data surfaces onboard to those standards, and mentor engineers into independent ownership of parts of the architecture. 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. Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems. Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.