Data Engineer - Menlo Park, United States - META
Description
Summary:
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.
Required Skills:
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.
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:
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:
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.
Public Compensation:
$173,000/year to $242,000/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-