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Data Engineer, Product Analytics

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Data Engineer, Product Analytics
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New York, NY
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Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.
Data Engineer, Product Analytics Responsibilities
  • Design and develop creative and innovative solutions to transform data coming from diverse domains and components operating in facebook.com, such as advertisements and pages, as well as other custom software systems and databases.
  • Facilitate visibility and consumption of the domains and components via appropriate interfaces.
  • Design, architect, and develop data solutions that help product and business teams make data driven decisions.
  • Lead data solution design efforts from beginning to end, as well as processes for the development and implementation of data integration for external insights, and will perform data engineering efforts for the Data Warehouse and Operational Data Store.
  • Provide insights that influence overall strategy and plan for the framework and construction of a scalable data solution and data warehouse environment.
  • Leverage homegrown Extract, Transform, Load (ETL) framework as well as the off-the-shelf tools, as appropriate.
  • Collaborate with data infrastructure and engineering teams to build and extend cross-platform ETL and reports generation frameworks.
  • They will provide consultation to business partners, including analysts, managers, end users and developers to clarify work objectives, determine project scope, obtain consensus, identify problems and recommend solutions.
  • Will also support end users on ad hoc data usage and serve as subject matter experts on functional matters.
Minimum Qualifications
  • Requires a Bachelor's degree (or foreign equivalent degree) in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field.
  • Requires completion of a university-level course, research project, internship, or thesis in the following:
  • 1. Features, design, and use-case scenarios across a big data ecosystem
  • 2. Custom ETL design, implementation, and maintenance
  • 3. Object-oriented programming languages
  • 4. Schema design and dimensional data modeling
  • 5. Writing SQL statements
  • 6. Analyzing data to identify deliverables, gaps, and inconsistencies
  • 7. Managing and communicating data warehouse plans to internal clients
  • 8. MapReduce or MPP system
  • 9. Python
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
$175,420/year to $196,900/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.
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