Data Engineer, Product Analytics

Meta is hiring a Data Engineer, Product Analytics to build and maintain scalable data solutions that support product growth, strategy, and user experience. The role partners with engineering, data science, and product teams to develop data architecture, models, and visualizations while ensuring data quality, security, and effective governance.

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, 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 feedback

Requirements:

• Bachelor'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. This could include roles such as data analyst, data scientist, data engineer, or similar positions
• 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)
• Master's or Ph.D degree in a STEM field
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies