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