Data Engineer, Product Analytics
Description For Data Engineer, Product Analytics
Meta is seeking a Data Engineer for Product Analytics to shape the future of their family of applications including Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. This role combines technical expertise with strategic insight, working on some of the world's most extensive datasets that impact billions of users worldwide.
The position offers a unique opportunity to work at unprecedented scale, solving complex data challenges few companies encounter. As a Data Engineer, you'll be instrumental in designing and implementing scalable data solutions that optimize growth, strategy, and user experience for over 3 billion users and Meta's internal community.
Your responsibilities will span three key areas: Data Engineering, where you'll build optimal data artifacts and refine systems; Product Leadership, where you'll use data to shape product development and identify opportunities; and Communication and Influence, where you'll tell data-driven stories to convince and influence partners.
Working at Meta means joining a world-class data engineering community dedicated to professional growth and development. You'll collaborate with cross-functional teams including software engineering, data science, and product management to create impactful solutions that drive Meta's mission of connecting people and building communities.
The ideal candidate will bring strong technical skills in SQL, ETL, data modeling, and programming, combined with the ability to translate complex data insights into actionable recommendations. This role offers the opportunity to work on cutting-edge technology while contributing to products that impact billions of users globally.
Responsibilities For Data Engineer, Product Analytics
- Conceptualize and own the data architecture for multiple large-scale projects
- Create frameworks that improve logging data efficacy
- Collaborate with engineers, product managers, and data scientists
- Define and manage Service Level Agreements for data sets
- Implement security model based on privacy requirements
- Design, build, and launch sophisticated data models and visualizations
- Solve challenging data integration problems using ETL patterns
- Optimize pipelines, dashboards, frameworks, and systems
- Influence product teams to identify data opportunities
- Mentor team members
Requirements For Data Engineer, Product Analytics
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
- 4+ years of experience where the primary responsibility involves working with data
- 4+ years of experience (or 2+ years with PhD) with SQL, ETL, data modeling, and at least one programming language
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