Data Engineer, Product Analytics

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match.

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. Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges.

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.

ResponsibilitiesConceptualize 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, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership* Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains* Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources* Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts* Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts* Influence product and cross-functional teams to identify data opportunities to drive impact* Mentor team members by giving/receiving actionable feedbackQualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience* 7+ years of experience where the primary responsibility involves working with data.

, prompt/context engineering, agent orchestration) and staying current with emerging AI technologies