Data Engineer, Product Analytics

The Data Engineer, Product Analytics is responsible for building scalable data artifacts, models, and visualizations that underpin product analytics across Meta apps. The role collaborates with software engineering, data science, and product management teams to optimize growth, strategy, and user experience.

Location

Burlingame, CA (onsite)

Compensation

Salary: USD 114,000 - 173,000 per yearly

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

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

Technologies

• SQL
• ETL
• Python
• C++
• C#
• Scala