Data Engineer, Product Analytics
Description For Data Engineer, Product Analytics
Meta is seeking a Data Engineer for their Product Analytics team 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.
The position offers a unique opportunity to work at unprecedented scale, solving complex data challenges while collaborating with cross-functional teams. As a Data Engineer, you'll be responsible for building scalable data solutions, optimizing growth strategies, and enhancing user experiences for Meta's massive user base of over 3 billion people.
Your role will encompass three main 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 influence product decisions.
Working at Meta means joining a world-class data engineering community that's dedicated to professional development and career growth. You'll be at the forefront of data innovation, working with cutting-edge technologies and frameworks while having the opportunity to mentor others and contribute to Meta's data infrastructure at a global scale.
The ideal candidate will have strong technical skills in SQL, ETL, data modeling, and programming languages like Python, combined with the ability to translate complex data insights into actionable recommendations. This role offers the chance to work on meaningful projects that directly impact how billions of people connect and interact online, while being part of Meta's mission to build the next evolution in social technology, including ventures into augmented and virtual reality.
Responsibilities For Data Engineer, Product Analytics
- Conceptualize and own the data architecture for multiple large-scale projects
- Create and contribute to frameworks that improve the efficacy of logging data
- Collaborate with engineers, product managers, and data scientists to understand data needs
- Define and manage Service Level Agreements for all data sets
- Determine and 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 and cross-functional teams
- 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 working with data
- 4+ years of experience with SQL, ETL, data modeling, and at least one programming language
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