Data Engineer, Analytics (Technical Leadership)
✨ AI Summary
Meta, a social media and technology company, is hiring a Data Engineer, Analytics (Technical Leadership) in Menlo Park, CA. The role involves leading data engineering efforts using modern tools and frameworks to support large-scale data sets for over 3 billion users. The posting emphasizes technical leadership and cross-functional collaboration with product managers and data scientists, but does not specify a tech stack, salary range, or minimum years of experience.
Every month, billions of people leverage Meta 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.
We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you will observe a direct correlation between your work, company growth, and user satisfaction. You’ll collaborate with experienced engineers, data scientists, and product managers, work with large-scale, diverse data sets, use modern data engineering tools and frameworks, and experience your efforts affecting products and people on a regular basis.
Move these qualification requirements to MINIMUM_QUALIFICATION or PREFERRED_QUALIFICATIONS.
About the Company
At Meta, we believe in impact and building a career where you’re challenged and valued in teams that are the best at what they do. Join us as we create and innovate the technologies of the future. We are advancing AI for a connected world. From developing category defining products to testing and launching wearables at global scale, there are many ways you can help us build the future of human connection and the technology that makes it possible.
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