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Data Engineer - Trust & Safety at Meta
Menlo Park, United States
Job Descrption
- Designs, builds, and contributes to semantic services that reduce the complexity and time required to define data and ensure reusability across the company
- Designs, builds, and contributes to services that reduce the complexity and time investment required to log data accurately and efficiently
- Architects sophisticated multi-tier logical and physical models that reduce the time and complexity required to perform data modeling across a product or domain
- Defines and implements security models for ambiguous and complex spaces
- Defines and evolves best practices that enable the function to implement security models efficiently
- Defines and evolves best practices, frameworks, or logging that improves our ability to deliver high quality data
- Identifies and confirms that commitments and safeguards are being followed within their respective scope
- Teaches others on how to navigate the space in the context of legal compliance
- Defines, evolves, and drives the organizational standards, policies, and process for data governance at the function level
- Architects and implements for scale and complexity
- Defines and evolves new standards and patterns that are adopted across the function
- Solves the most challenging or complex query based problems in the most efficient, readable, and scalable way
- Defines and evolves new standards and patterns that are adopted across the function
- Works with complex data sources that require considerable source system analysis before processing
- Defines and evolves new methods of handling and storing complex data structures
- Proactively identifies opportunities to improve Meta's integration frameworks and drives changes to them
- Appropriately applies advanced concepts and procedures to solving complex data visualization problems
- Identifies and creates the most powerful way to visualize the data and distills complex findings into simple, compelling visualizations
- Designs and builds services that reduce the complexity and time investment required to prepare and manipulate data for visualization
- Conceptualizes new interface components, widgets and design elements, or new ways to compose an interface to maximize its value and usefulness
- Takes ownership to test and maintain code quality – including reliability, backend (e.g., service, user experience), efficiency (e.g., compute, storage), security (e.g., data privacy, data access, detection), and performance
- Evaluates design and operational cost/ benefit trade-offs in systems
- Integrates software components into production systems
- Evaluates configuration parameters to optimize efficiency, performance, and scalability of software components
- Partners with system architects to optimize design to deliver the overall system architecture
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 5+ years experience in the data warehouse space, custom ETL design, implementation, and maintenance.
- 5+ years experience with object-oriented programming languages.
- 7+ years experience in writing SQL statements with schema design and dimensional data modeling.
- Experience managing and communicating data warehouse plans to internal clients.
- Master's or Ph.D degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
- Experience working with terabyte to petabyte scale data.
- Experience influencing product decisions with data.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
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