**Summary:** 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. **Required Skills:** Data Engineer, Analytics Responsibilities: 1. Design, model, or implement data warehousing activities in order to contribute to the design and development of Meta products. 2. Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems. 3. Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve. 4. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way. 5. Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership. 6. Design, build and launch new data models and visualizations in production, leveraging common development toolkits. 7. Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around creating efficient queries. 8. Support existing processes running in production and implement optimized solutions with limited guidance. 9. Define and manage SLA for data sets in allocated areas of ownership. 10. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. 11. Exercise judgment within defined procedures and practices to determine appropriate action. **Minimum Qualifications:** Minimum Qualifications: 12. Requires a Master's degree in Computer Science, Engineering, Information Systems, Statistics, Data Analytics, Mathematics, Applied Sciences, or a related field. 13. Requires completion of a graduate-level course, research project, or internship in the following: 14. 1. Data Visualization using Tableau, R, Python, or PowerBl 15. 2. Legacy Data Migration 16. 3. Database systems including relational, distributed, NoSQL, and/or object databases 17. 4. Custom ETL design, implementation, and maintenance 18. 5. Object-oriented programming languages 19. 6. Schema design and dimensional data modeling 20. 7. Writing SOL statements 21. 8. Analyzing data to identify deliverables, gaps, and inconsistencies 22. 9. Managing and communicating data warehouse plans to internal clients 23. 10. MapReduce or MPP system and 24. 11. Programming in Python. **Public Compensation:** $133,473/year to $154,660/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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, 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta 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 accommodations-ext@fb.com.