Data Engineer, Analytics

Seattle, Washington


Employer: Meta
Industry: 
Salary: Competitive
Job type: Full-Time

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.

Data Engineer, Analytics Responsibilities


  • Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.

  • Analyze user needs and software requirements to determine workability and to offer support for end users on data usage.

  • Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions.

  • Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.

  • Design, develop, test, and launch new data models and processes into production, and provide support.

  • Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.

  • Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.

  • Identify data infrastructure issues and drive to resolution.


Minimum Qualifications


  • Masters in Information, Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, or a related field and 24 months in the job offered or in a related occupation. Experience must include 24 months of experience involving the following:

  • 1. Writing SQL statements

  • 2. Dimensional data modeling

  • 3. Schema design

  • 4. Programming in C#

  • 5. Programming in Visual Basic

  • 6. Azure cloud

  • 7. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale

  • 8. Programming in Python

  • 9. Internet technologies: HTTP

  • 10. Analyzing large volumes of data to provide data driven insights, gaps and inconsistencies

  • 11. Map Reduce

  • 12. Hadoop

  • 13. Machine Learning

  • 14. Programming in R.


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Created: 2024-05-03
Reference: 1544287989448603
Country: United States
State: Washington
City: Seattle
ZIP: 98109


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