Data Engineer, Product Analytics (University Grad) (Bellevue, United States)

Data Engineer, Product Analytics (University Grad)

Company Overview

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Job Summary

As a Data Engineer at Meta, you will 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.

Key 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 / Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

• Knowledge of SQL

• Programming knowledge in Python

• Knowledge of database systems

• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

• Curious, self-driven, analytical and excited to play with data

• Experience thriving in a fast-paced work environment

• Experience in collaborating with individuals and organizations

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Location

Menlo Park, CA

Employment Type

Full Time

Salary & Benefits

Base pay range: $99,008.00/yr - $139,000.00/yr. In addition to base compensation, Meta offers benefits.

Equal Opportunity Statement

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.