Data Engineer, Product Analytics

$110,000 - $171,000/Yr

Meta - Frankfort, KY

Full-time - Mid Level

Frankfort, KY

5,001-10,000 employees

Web Search Portals, Libraries, Archives, and Other Information Services

About the position

As a Data Engineer at Meta, you will play a crucial role in shaping the future of our people-facing and business-facing products across various applications including Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. Your technical skills and analytical mindset will be essential in designing and building extensive data sets that enhance user experiences for billions of people and hundreds of millions of businesses worldwide. You will collaborate with cross-functional teams to create scalable data solutions that optimize growth, strategy, and user experience, while also addressing complex analytical challenges at an unmatched scale.

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
• Collaborate with engineers, product managers, and data scientists to understand data needs and represent key data insights meaningfully
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
• Design, build, and launch new data models and visualizations in production
• Independently design, build, and launch new data extraction, transformation, and loading processes in production
• 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

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
• 2+ years of experience where the primary responsibility involves working with data
• 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others)

Nice-to-haves

• Master's or Ph.D degree in a STEM field

Benefits

• Bonus
• Equity
• Health benefits
• Flexible working hours
• Career development opportunities