Data Engineer

Menlo Park, California


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 Responsibilities


  • Design, model, or implement data warehousing activities in order to contribute to the design and development of Facebook products.

  • Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems.

  • Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve.

  • Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.

  • Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.

  • Design, build and launch new data models and visualizations in production, leveraging common development toolkits.

  • Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around creating efficient queries.

  • Support existing processes running in production and implement optimized solutions with limited guidance.

  • Define and manage SLA for data sets in allocated areas of ownership.

  • Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.

  • Exercise judgment within defined procedures and practices to determine appropriate action.


Minimum Qualifications


  • Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Analytics, or a related field and 24 months of experience in the job offered or in a related occupation. Experience must include 24 months involving the following:

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

  • Programming in Python, Perl, Java, or PHP

  • Internet technologies: HTTP, HTML, CSS, or JavaScript

  • Writing SQL statements

  • Analyzing large volumes of data to pro-vide data driven insights, gaps, and inconsistencies

  • Data warehousing architecture and plans

  • Map Reduce or MPP system

  • Hadoop, HBase, or Hive and

  • Developing data pipelines using Python or Airflow


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Created: 2024-05-03
Reference: 806827071356310
Country: United States
State: California
City: Menlo Park


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