Meta is looking to hire a Data Engineer to design and build scalable data solutions across their family of applications to optimize growth, strategy, and user experience for billions of users and millions of businesses. The role involves identifying and solving complex data challenges at scale.
Requirements
- 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C-Sharp, Scala or others.)
Responsibilities
- 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
- 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 efficient queries
- Support existing processes running in production and implement optimized solutions with limited guidance
- Define and manage Service Level Agreements for data sets in allocated areas of ownership
- refine our systems, design logging solutions, and create scalable data models
Other
- Collaborate with software engineering, data science, and product management teams
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 2+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
- Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
- You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations.
