Senior Data Engineer, Product Analytics & Insights

Meta; Columbia (SC); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Data Engineer to shape data assets across Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. You will design scalable data solutions, collaborate with cross-functional teams, and drive data-driven product decisions at a massive scale.

You will own data architecture, improve logging, ensure data quality, and develop end-to-end pipelines and visualizations to support growth and strategic initiatives. A strong background in SQL, ETL, and programming is essential.

Qualifications

• Bachelor's degree in CS or related field
• 7+ years of experience working with data
• 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala)

Responsibilities

• Conceptualize and own the data architecture for large-scale projects
• Create frameworks to improve logging data and data infrastructure
• Collaborate with engineers, product managers, and data scientists to translate data needs into meaningful visuals
• Define and manage SLAs for data sets
• Design, build, and launch sophisticated data models and visualizations
• Optimize data pipelines and dashboards for easier data artifact development
• Mentor team members and provide actionable feedback

Skills

Data architecture

Data modeling

SQL

ETL pipelines

Python

Stakeholder collaboration

Education

Bachelor's degree in Computer Science or related field

Master's or Ph.D in STEM (preferred)

Tools

Apache Spark

Airflow

ETL frameworks

Visualization tools

Job description

Meta is seeking a Data Engineer to shape data assets across Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. You will design scalable data solutions, collaborate with cross-functional teams, and drive data-driven product decisions at a massive scale.

You will own data architecture, improve logging, ensure data quality, and develop end-to-end pipelines and visualizations to support growth and strategic initiatives. A strong background in SQL, ETL, and programming is essential.