Data Engineer, Product Analytics

Job Description

About the Role

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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.

Key Responsibilities

Design, model, or implement data warehousing activities in order to contribute to the design and development of Facebook products.
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 visually 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.
Support existing processes running in production and implement optimized solutions with limited guidance.
Define and manage SLA for data sets in allocated areas of ownership.
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Requirements

Requires Master's degree (or foreign degree equivalent) in Computer Science, Information Technology Management, or a related field.
Requires 24 months involving custom ETL design, implementation, and maintenance.
Experience with object-oriented programming languages.
Proficiency in writing SQL statements.
Experience analyzing data to identify deliverables, gaps, and inconsistencies.
Managing and communicating data warehouse plans to internal clients.
Proficiency in Python.

Qualifications

Master's degree in a related field.
2 years of relevant work experience involving ETL, programming, and data analysis.

Benefits & Perks

$195,254/year to $235,400/year + bonus + equity + benefits

Working at Meta

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. They do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, age, veteran status, disability, or other protected characteristics. Meta participates in the E-Verify program where required and is committed to providing reasonable accommodations for candidates with disabilities.

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