Data Engineer, Product Analytics

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, Product Analytics Responsibilities: Design, model, or implement data warehousing activities in order to contribute to the design and development of Meta products. Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems. 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. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way. Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership. Design, build and launch new data models and visualizations in production, leveraging common development toolkits. Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around creating efficient queries. Support existing processes running in production and implement optimized solutions with limited guidance. Define and manage SLA for data sets in allocated areas of ownership. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. Telecommute from anywhere in the U.S. permitted. Minimum Qualifications: Minimum Qualifications: Requires a Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, followed by five years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation. Requires five years of experience in the following: Custom ETL design, implementation, and maintenance Schema design and dimensional data modeling Writing SQL statements Analyzing data to identify deliverables, gaps and inconsistencies Managing and communicating data warehouse plans to internal clients MapReduce or MPP system. Public Compensation: $183,695/year to $235,400/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 .

Created: 2024-10-19