Every month, billions of people leverage Facebook products to connect with friends and loved ones from across the world. On the Data Engineering team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges around efficiency and integrity, at a scale few companies can match. As we continue to expand and create, we have a lot of exciting work ahead of us!

　　Data Engineer Responsibilities:

　　Manage data warehouse plans for a product or a group of products.Collaborate with engineers, product managers and data scientists to understand data needs.Build data expertise and own data quality for allocated areas of ownership.Design, build and launch new data models in production.Design, build and launch new data extraction, transformation and loading processes in production.Measuring our impact along various dimensions by building logging, core datasets and dashboardsowning quality performance metrics.Support existing processes running in production.Define and manage SLA for all data sets in allocated areas of ownership.Work with data infrastructure to triage infra issues and drive to resolution.Improve 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.Minimum Qualifications:

　　Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.4+ years of work experience in data engineering (a minimum of 2+ years with a Ph.D)4+ years experience in the data warehouse space.4+ years experience in custom ETL design, implementation and maintenance.4+ years experience and practical application of Python4+ years experience with schema design and dimensional data modeling.4+ years experience in writing SQL statements.Experience with data architecture design and data pipeline optimization.Preferred Qualifications:

　　Master's or Ph.D degree in a STEM fieldExperience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacyExperience working with terabyte to petabyte scale dataExperience working autonomously in global teams.About Meta:

　　Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.