About the role

Role Overview

Meta is seeking a Data Engineer (W2 contract, remote) to support a large-scale data and analytics initiative. You will build scalable and reliable data infrastructure, design governed metrics, and deliver end-to-end data solutions used across operational workflows.

Responsibilities

Design, build, and maintain scalable data pipelines and analytics-ready datasets for ENS operations
Lead data warehouse design, including dimensional modeling, schema design, and optimization for large-scale workloads
Write and optimize complex SQL for analytics, reporting, and downstream consumers
Improve data reliability via data quality checks, monitoring, and validation frameworks
Define and enforce metrics definitions, data standards, and data governance best practices
Build dashboards, reports, and self-service analytics to provide timely insights
Collaborate with cross-functional teams to translate business requirements into robust, scalable data solutions

Requirements

Strong experience designing and delivering end-to-end data solutions (pipelines, warehouse/metrics, analytics layers)
Proficiency in SQL for analytics and reporting use cases
Ability to implement data quality, monitoring, validation, and governance
Experience supporting stakeholders with data products and self-service analytics

Nice-to-haves

Experience with dimensional modeling and schema/warehouse optimization for analytical workloads
Background in operational or financial tracking metrics and multi-level metrics definitions

About Facebook

Meta (Facebook) is a global technology company focused on building products and services for connecting people and enabling digital communication and commerce. It runs large-scale data and analytics systems to power operational workflows and data-driven decision-making across the organization.