Senior Data Engineer, Product Analytics with Equity

Meta; Providence (RI); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta seeks a Data Engineer in Rhode Island to shape data products across its apps, including Facebook, Instagram, Messenger, WhatsApp, and more. You will design scalable data solutions for billions of users and hundreds of millions of businesses, collaborating with software, data science, and product teams.

You will own data architecture, build data models and visualizations, ensure data security and quality, optimize pipelines, and influence product strategy with data-driven insights.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 7+ years of data-focused experience.
• 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (Python, C++, C#, Scala, etc.).

Responsibilities

• Conceptualize and own data architecture for large-scale projects.
• Improve logging data frameworks and triage data infrastructure issues.
• Collaborate with engineers, product managers, and data scientists to translate data needs into insights.
• Define and manage SLAs for datasets.
• Design and implement secure data models and governance.
• Build data models and visualizations for multiple use cases.
• Solve data integration problems using ETL patterns.
• Optimize pipelines, dashboards, and data artifact development.
• Influence product teams to identify data opportunities.
• Mentor team members.

Skills

SQL

ETL

Data modeling

Python

C++

C#

Scala

Data visualization

Education

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

Tools

Airflow

Spark

Tableau

Power BI

Job description

Meta seeks a Data Engineer in Rhode Island to shape data products across its apps, including Facebook, Instagram, Messenger, WhatsApp, and more. You will design scalable data solutions for billions of users and hundreds of millions of businesses, collaborating with software, data science, and product teams.

You will own data architecture, build data models and visualizations, ensure data security and quality, optimize pipelines, and influence product strategy with data-driven insights.