Data Engineer, Analytics

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

Description For Data Engineer, Analytics

Meta, formerly Facebook Inc., is seeking a Data Engineer, Analytics to join their innovative team. This role sits at the intersection of data warehousing, analytics, and product development, supporting Meta's mission to build technologies that connect people and enable immersive experiences.

The position offers a competitive compensation package ranging from $133,473 to $154,660 annually, plus bonus, equity, and comprehensive benefits. Based in San Francisco, this role presents an exciting opportunity to work with cutting-edge technology and data systems.

As a Data Engineer, you'll be responsible for designing and implementing data warehousing solutions, managing ETL processes, and collaborating with cross-functional teams to drive data-driven decisions. The role requires expertise in Python, SQL, and various data visualization tools, along with a strong foundation in database systems and data modeling.

The ideal candidate will have a Master's degree in a relevant field and demonstrate proficiency in data visualization, database management, and ETL processes. You'll work on problems of moderate scope, requiring analytical thinking and independent judgment to determine appropriate actions.

At Meta, you'll be part of a company that's pushing the boundaries of social technology, moving beyond traditional social media into augmented and virtual reality. You'll have the opportunity to work on projects that impact billions of users while contributing to the next evolution of digital connection.

The role offers professional growth opportunities, working with state-of-the-art data technologies and alongside talented professionals. Meta's commitment to innovation, coupled with its comprehensive benefits package and inclusive work environment, makes this an excellent opportunity for data professionals looking to make a significant impact in the tech industry.

Last updated a month ago

Responsibilities For Data Engineer, Analytics

  • Design, model, or 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 requiring analysis of various factors

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

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