Product Analytics Data Engineer

Meta; Bellevue (WA); On-site; USD 150,000 - 200,000; Full time

Job summary

Meta is seeking a Data Engineer to shape data for our consumer and business products across Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. You will work with software engineers, data scientists, and product managers to design scalable data solutions for billions of users and hundreds of millions of businesses.

You will guide data modeling, logging, and production data pipelines, ensuring data quality and privacy while driving data-driven product decisions and storytelling

Qualifications

• 2+ years experience with data-focused roles (analyst/scientist/engineer).
• 2+ years experience with SQL, ETL, data modeling, and programming language (Python/C++/C#/Scala).

Responsibilities

• Manage and execute data warehouse plans for a product or group of products to solve well-scoped problems.
• Identify data needed for business problems and implement logging to ensure data availability, triage issues with data infrastructure.
• Collaborate with engineers, product managers and data scientists to understand data needs and present insights.
• Build data artifacts with data controls to ensure privacy, security, quality, and operations.
• 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, mentoring others on efficient queries.
• Support existing production processes and implement optimized solutions with limited guidance.
• Define and manage Service Level Agreements for data sets.

Skills

Data analysis

Collaboration

Communication

Problem solving

Education

Bachelor's degree in CS/CE or related field

Tools

SQL

ETL

Python

Data modeling

Job description

Meta is seeking a Data Engineer to shape data for our consumer and business products across Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. You will work with software engineers, data scientists, and product managers to design scalable data solutions for billions of users and hundreds of millions of businesses.

You will guide data modeling, logging, and production data pipelines, ensuring data quality and privacy while driving data-driven product decisions and storytelling