Data Engineer, Analytics

Meta builds technologies that help people connect, find communities, and grow businesses through social technology and immersive experiences.
$133,473 - $154,660
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · AR/VR · AI

Description For Data Engineer, Analytics

Meta (formerly Facebook) is seeking a Data Engineer, Analytics to join their team in San Francisco. This role is crucial in building and maintaining the data infrastructure that powers Meta's suite of social technology products and future immersive experiences.

The position requires a Master's degree and combines technical expertise in data engineering with business acumen. You'll be responsible for designing and implementing data warehousing solutions, creating efficient ETL processes, and building meaningful data visualizations that drive product decisions.

Key responsibilities include managing data warehouse plans, implementing logging requirements, collaborating with cross-functional teams, and ensuring data quality and security. You'll work with various technologies including Python, SQL, and modern data visualization tools.

The role offers competitive compensation ranging from $133,473 to $154,660 annually, plus bonus and equity opportunities. Meta provides comprehensive benefits and the chance to work on products that impact billions of users globally.

This is an excellent opportunity for a data professional who wants to contribute to the next evolution of social technology, including AR/VR initiatives. You'll be part of a team that values innovation, technical excellence, and data-driven decision making, while working on complex problems that require analytical thinking and creative problem-solving.

Meta's commitment to building immersive experiences and moving beyond traditional social media platforms makes this an exciting time to join the company. You'll have the opportunity to work with cutting-edge technology and help shape the future of digital connection while growing your career at one of the world's leading technology companies.

Last updated 3 minutes ago

Responsibilities For Data Engineer, Analytics

  • Design, model, and implement data warehousing activities for Meta products
  • Manage and execute data warehouse plans for products
  • Identify data needs and implement logging requirements
  • Collaborate with engineers, product managers and data scientists
  • Build data expertise and leverage data controls for privacy and security
  • Design, build and launch new data models and visualizations
  • Design, build and launch new ETL processes
  • Support existing processes and implement optimized solutions
  • Define and manage SLA for data sets
  • Work on problems of moderate scope

Requirements For Data Engineer, Analytics

Python
  • Master's degree in Computer Science, Engineering, Information Systems, Statistics, Data Analytics, Mathematics, Applied Sciences, or related field
  • Experience with Data Visualization using Tableau, R, Python, or PowerBI
  • Knowledge of Legacy Data Migration
  • Experience with database systems including relational, distributed, NoSQL
  • Custom ETL design, implementation, and maintenance experience
  • Object-oriented programming knowledge
  • Schema design and dimensional data modeling expertise
  • SQL proficiency
  • Data analysis skills
  • Experience with MapReduce or MPP systems
  • Python programming skills

Benefits For Data Engineer, Analytics

Medical Insurance
Dental Insurance
Vision Insurance
  • bonus
  • equity
  • benefits

Interested in this job?

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