Data Engineer, Product Analytics

Meta builds technologies that help people connect, find communities, and grow businesses through platforms like Facebook, Instagram, WhatsApp, and Reality Labs.
$173,000 - $242,000
Data
Senior Software Engineer
In-Person
5,000+ Employees
7+ years of experience
AI · Enterprise SaaS · Social Media

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 to build and optimize data solutions that impact billions of users worldwide.

The position offers an opportunity to work on some of the most extensive data sets in the industry, tackling complex challenges at unprecedented scale. As a Data Engineer, you'll be instrumental in designing and implementing scalable data solutions that drive product development and user experience optimization across Meta's platforms.

Your responsibilities will span from architectural design to hands-on development, working with cutting-edge data technologies and frameworks. You'll collaborate closely with cross-functional teams including software engineers, data scientists, and product managers to create impactful data solutions that inform product decisions and strategy.

The role requires strong technical skills in data engineering, including expertise in SQL, ETL processes, and programming languages like Python. You'll be responsible for building robust data pipelines, ensuring data quality and security, and creating sophisticated data models that support multiple use cases across different products.

At Meta, you'll join a world-class data engineering community that values professional growth and development. The position offers competitive compensation including base salary, bonus, equity, and comprehensive benefits. This is an excellent opportunity for experienced data professionals who want to make an impact at scale while working with cutting-edge technology and talented colleagues.

Last updated a day ago

Responsibilities For Data Engineer, Product Analytics

  • Conceptualize and own data architecture for large-scale projects
  • Create frameworks to improve logging data efficacy
  • Collaborate with engineers, product managers, and data scientists
  • Define and manage Service Level Agreements for data sets
  • Implement security models and privacy requirements
  • Design and build sophisticated data models and visualizations
  • Solve challenging data integration problems using ETL patterns
  • Optimize pipelines, dashboards, and frameworks
  • Influence product teams to identify data opportunities
  • Mentor team members

Requirements For Data Engineer, Product Analytics

Python
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
  • 7+ years of experience working with data
  • 7+ years of experience with SQL, ETL, data modeling, and at least one programming language

Benefits For Data Engineer, Product Analytics

Medical Insurance
Equity
401k
  • Competitive salary
  • Bonus
  • Equity
  • Comprehensive benefits package

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