Data Engineers at Meta shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
As a Data Engineer Intern, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match. As we continue to expand and create, we have a lot of exciting work ahead of us!
Responsibilities
- Architect, implement and deploy new data models and data processes in production
- Perform data analysis to generate business insights
- Interface with Engineers, Product Managers and Data Scientists to understand product goals and data needs
- Build data expertise and own data quality for allocated areas of ownership
- Manage data warehouse plans for a product or a group of products
- Support critical data processes running in production
Qualifications
- Currently has, or is in the process of obtaining, a Bachelors, or Masters degree in Computer Science, Information Science, Mathematics, or related technical field
- Knowledge of SQL, data modeling and at least one programming language(e.g., Python, C++, C#, Scala)
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Intent to return to degree-program after the completion of the internship
- Curious, self-driven, analytical and excited to play with data
- Ability to thrive in a fast paced work environment
- Experience in collaborating with individuals and organizations