Senior Data Engineer, Product Analytics & Insights

Meta; Lansing (MI); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Data Engineer to shape data products across our apps (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). You will design scalable data solutions, build datasets and visualizations, and help optimize growth, strategy, and user experience for billions of users and hundreds of millions of businesses worldwide.

You will collaborate with software engineers, data scientists, and product managers to understand data needs, own data architecture, implement robust

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering.
• 7+ years of data-focused experience in roles like data engineer or data analyst.
• 7+ years experience with SQL, ETL, data modeling, and programming language (Python, C++, C#, Scala).

Responsibilities

• Conceptualize and own data architecture for large-scale projects.
• Improve logging data and triage data infrastructure issues.
• Collaborate with engineers, product managers, and data scientists to map data needs.
• Define and manage SLAs for data sets.
• Implement security models based on privacy requirements.
• Design and launch data models and visualizations for multiple use cases.
• Solve data integration problems using ETL patterns and techniques.
• Own and optimize production data processes.
• Improve pipelines and dashboards to accelerate artifact development.
• Influence cross-functional teams to identify data opportunities.
• Mentor team members with actionable feedback.

Skills

SQL

ETL

Data modeling

Python

C++

Scala

Education

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

Job description

Meta is seeking a Data Engineer to shape data products across our apps (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). You will design scalable data solutions, build datasets and visualizations, and help optimize growth, strategy, and user experience for billions of users and hundreds of millions of businesses worldwide.

You will collaborate with software engineers, data scientists, and product managers to understand data needs, own data architecture, implement robust