Data Engineer - Trust & Safety

Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. As a data engineer in the team, you will play a critical role in ensuring the safety and well-being of our users by using data to identify and mitigate risks.You will have the opportunity to work on complex and meaningful problems that have a direct impact on the lives of people around the world. You will have the chance to work with cutting-edge technology and tools to develop innovative solutions to some of the most pressing challenges facing our platform. You will have the satisfaction of knowing that your work is making a real difference in the lives of people and helping to create a safer and more trustworthy online community.Data Engineer - Trust & Safety Responsibilities

• 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

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

LocationsAbout 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. $१,७३,०००/year to $२,४२,०००/year + bonus + equity + benefits

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.