Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
Are you passionate about data? Do you like working with big data? If yes, we want to talk to you! Data and associated analytics play a huge role in the success of Facebook. We have diverse business needs and very large-scale data. This makes it a wonderful and exciting challenge to provide scalable, actionable, reliable and timely data for our company. The Enterprise mission is to ship people-centric Enterprise solutions that transform and accelerate Facebook's business.
Facebooks Enterprise Products team is responsible for building integrated, scalable, and robust enterprise applications. We are currently looking for a Data Engineer who has experience in building data products for supply chain, or is willing to learn within the space, to help enable our engineering teams to build smarter and more relevant solutions for Facebook.The Data Center Products team is responsible for building software that underpins operations in Facebook data centers. Our products enable scale, efficiency and quality in the work performed. A Data Engineer in this Data Center Products will help grow a data and metric driven culture by understanding how data center operations work and redefining how we look for and/or solve for operational efficiencies. DCP has 7 main verticals under its umbrella, and we're looking for someone to own one or more of these verticals, from idea conception to implementation. Moving from a more traditional retroactive batch analysis team to more predictive analytical one, gives us a plethora of opportunities to pursue within the organization, where you will work with our Operations Research Scientists and build out scalable models for your verticals. You will enjoy working on cutting edge technology, and see your insights turned into real products on a regular basis.
In this role, youll see a direct link between your work, company growth, and user satisfaction. Youll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and get an opportunity to solve some of the most challenging business and engineering problems, at a scale that few companies can match. You will do so by partnering with stakeholders/teams and building scalable solutions that provide business critical insights and metrics, while ensuring the best uptime and responsiveness.
This is a full-time position based in our office in Menlo Park, CA.
Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at firstname.lastname@example.org.
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