Product Analytics Data Engineer: Drive Growth

Meta; Madison (WI); On-site; USD 177,000 - 247,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Data Engineer, Product Analytics to design data solutions for Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. You will partner with software engineers, data scientists, and product managers to architect scalable data models and visualizations that drive growth, product decisions, and user experiences at a massive scale.

You will help build data artifacts, refine logging, ensure data quality and security, and influence product teams with data-driven insights

Qualifications

• 7+ years of experience with SQL, ETL, data modeling, and at least one programming language.

Responsibilities

• Conceptualize and own the data architecture for multiple large-scale projects.
• Create and contribute to frameworks that improve logging data.
• Collaborate with engineers, product managers, and data scientists to understand data needs and present insights visually.
• Define and manage SLAs for all data sets.
• Determine and implement privacy-focused security models and governance.
• Design, build, and launch data models and visualizations for multiple use cases.
• Solve data integration problems using ETL patterns across structured and unstructured data.
• Own and optimize production data processes and code.
• Optimize pipelines, dashboards, frameworks, and systems for easier data artifact development.
• Influence cross-functional teams to identify data opportunities.
• Mentor team members with actionable feedback.

Skills

SQL

ETL

Data modeling

Python

C++

C#

Scala

Education

Master's or Ph.D. in STEM

Tools

AI tools integration

Job description

Meta is seeking a Data Engineer, Product Analytics to design data solutions for Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. You will partner with software engineers, data scientists, and product managers to architect scalable data models and visualizations that drive growth, product decisions, and user experiences at a massive scale.

You will help build data artifacts, refine logging, ensure data quality and security, and influence product teams with data-driven insights