Data Engineer, Product Analytics & Insights

Meta; Charleston (WV); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Data Engineer to shape data across Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and more. You will design scalable data solutions for billions of users and hundreds of millions of businesses, collaborating with software engineers, data scientists, and product managers to deliver insights and drive product growth.

You will own data architecture, build analytics models and visualizations, and set governance and security standards while optimizing data pipelines for

Qualifications

• Bachelor's degree in CS/engineering or equivalent practical experience.
• 7+ years of data experience (data analyst/scientist/engineer).
• 7+ years of SQL, ETL, data modeling, and at least one programming language.

Responsibilities

• Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and cost-benefit tradeoffs.
• Create frameworks to improve logging data quality and triage issues with data infrastructure.
• Collaborate with engineers, product managers, and data scientists to understand data needs and visualize insights.
• Define and manage SLAs for all data sets in owned areas.
• Determine and implement security models based on privacy requirements and governance.
• Design, build, and launch data models and visualizations for multiple use cases across products.
• Solve data integration problems using ETL patterns and diverse data sources.
• Own and optimize production data processes and improve code efficiency with advanced concepts.
• Improve pipelines, dashboards, and systems to ease development of data artifacts.
• Influence cross-functional teams to identify data opportunities.

Skills

SQL

ETL

Data modeling

Python

Education

Bachelor's degree in CS/Engineering

Master's or Ph.D in STEM

Job description

Meta is seeking a Data Engineer to shape data across Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and more. You will design scalable data solutions for billions of users and hundreds of millions of businesses, collaborating with software engineers, data scientists, and product managers to deliver insights and drive product growth.

You will own data architecture, build analytics models and visualizations, and set governance and security standards while optimizing data pipelines for