Data Engineer, Product Analytics & Insights

Meta; San Francisco (CA); On-site; USD 147,000 - 208,000; Full time

Job summary

Meta seeks a Data Engineer for Product Analytics to design and implement scalable data solutions across its apps, supporting billions of users and hundreds of millions of businesses. You will partner with engineers, data scientists, and product managers to deliver reliable data architectures and insights that drive growth and user experience.

You will own data models, logging framework quality, data governance, and robust ETL patterns, while mentoring teammates and influencing cross-functional

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering or related field.
• 4+ years in roles involving data (data analytics, data engineering, data science).
• 4+ years of experience with SQL, ETL, data modeling, and at least one programming language.

Responsibilities

• Conceptualize and own data architecture for large-scale projects.
• Create frameworks to improve data logging and triage issues.
• Collaborate with engineers, PMs, and data scientists to understand data needs and insights.
• Define and manage SLAs for data sets.

Skills

SQL

ETL

Data modeling

Python

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Tools

Python

SQL

Job description

Meta seeks a Data Engineer for Product Analytics to design and implement scalable data solutions across its apps, supporting billions of users and hundreds of millions of businesses. You will partner with engineers, data scientists, and product managers to deliver reliable data architectures and insights that drive growth and user experience.

You will own data models, logging framework quality, data governance, and robust ETL patterns, while mentoring teammates and influencing cross-functional