Data Engineer

Meta is seeking a highly skilled Data Engineer to support a large-scale data and analytics initiative. In this role, you will help enable data-driven decision-making by building scalable, reliable data infrastructure and developing well-governed metrics used across critical operational workflows.

Responsibilities:

• Design, build, and maintain scalable data pipelines and analytics-ready datasets supporting ENS operations
• Lead data warehouse design, including dimensional modeling, schema design, and optimization for large-scale analytical workloads
• Develop and maintain L1/L2/L3 metrics frameworks for operational, financial, and performance tracking
• Automate Opex and Capex reporting, ensuring accuracy, traceability, and repeatability
• Write and optimize complex SQL queries to support analytics, reporting, and downstream consumers
• Improve data reliability through data quality checks, monitoring, and validation frameworks
• Establish and enforce metrics definitions, data standards, and governance best practices
• Build dashboards, reports, and self-service analytics tools to empower ENS teams with timely insights
• Partner with cross-functional teams to translate business requirements into robust, scalable data solutions

Requirements:

• Highly skilled Data Engineer
• Experience in building scalable, reliable data infrastructure
• Ability to develop well-governed metrics used across critical operational workflows
• Experience in designing and delivering end-to-end data solutions
• Knowledge of data warehouse architecture and modeling
• Experience in developing automated data pipelines
• Ability to create analytics layers and dashboards
• Experience in developing multi-level metrics (L1/L2/L3)
• Ability to support financial and operational tracking
• Ensuring high standards for data quality, consistency, and governance
• Experience in collaborating with cross-functional partners
• Ability to translate business requirements into durable data solutions
• Experience in delivering trusted insights and self-service analytics
• Ability to monitor performance and identify trends
• Experience in designing, building, and maintaining scalable data pipelines
• Experience in leading data warehouse design, including dimensional modeling, schema design, and optimization for large-scale analytical workloads
• Ability to develop and maintain L1/L2/L3 metrics frameworks for operational, financial, and performance tracking
• Experience in automating Opex and Capex reporting
• Ability to write and optimize complex SQL queries
• Experience in improving data reliability through data quality checks, monitoring, and validation frameworks
• Ability to establish and enforce metrics definitions, data standards, and governance best practices
• Experience in building dashboards, reports, and self-service analytics tools
• Ability to partner with cross-functional teams