Data Engineer, Product Analytics

$110,000 - $171,000/Yr

Meta - Trenton, NJ

Full-time - Mid Level

Trenton, NJ

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About the position

As a Data Engineer at Meta, you will play a crucial role in shaping the future of both people-facing and business-facing products across Meta's family of applications. This position involves designing and building extensive data sets to enhance user experiences and optimize business strategies for over 3 billion users. You will collaborate with various teams to create scalable data solutions, ensuring data security and quality while addressing complex analytical challenges.

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
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• 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, 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

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, such as data analyst, data scientist, data engineer, or similar positions
• 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
• Paid time off
• Retirement plan