Senior Data Engineer - Product Analytics & Insights

Meta; Fremont (CA); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Data Engineer for Product Analytics to shape data architecture and build scalable data solutions across its apps. You will work with engineers, data scientists and PMs to understand data needs and deliver insights that drive growth and user experiences at scale.

The role emphasizes ownership of data modeling, ETL patterns, governance, and collaboration across teams to align analytics with business goals. Strong SQL and coding skills are required.

Qualifications

• 7+ years of experience working with data across analytics or engineering domains.
• Proficiency with SQL, ETL, data modeling and at least one programming language (Python, C++, C#, Scala).

Responsibilities

• Conceptualize and own data architecture for large-scale projects, evaluating tradeoffs.
• Collaborate with engineers, data scientists and product managers to translate data needs into solutions.
• Define SLAs for data sets and ensure security and governance.
• Design and implement scalable data models and visualizations for multiple use cases.
• Optimize ETL pipelines and data systems for reliable, efficient data delivery.

Skills

SQL

ETL

Data modeling

Python

C++

C#

Scala

Education

Bachelor's degree in CS/Engineering

Job description

Meta is seeking a Data Engineer for Product Analytics to shape data architecture and build scalable data solutions across its apps. You will work with engineers, data scientists and PMs to understand data needs and deliver insights that drive growth and user experiences at scale.

The role emphasizes ownership of data modeling, ETL patterns, governance, and collaboration across teams to align analytics with business goals. Strong SQL and coding skills are required.