Data Engineer

Meta•Austin, TX

57d•$164,325 - $199,650

About The Position

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.

Requirements

Bachelor’s degree in computer science, Engineering, Information Systems, Mathematics, Statistics, Analytics, or a related field (or foreign equivalent), and 24 months of experience in the job offered or in a related occupation
Experience must include 24 months involving the following:
Custom ETL design, implementation, and maintenance
Working with Hive and Salesforce APIs
Implementing automated alert systems using custom-built alerting frameworks
Managing and maintaining AWS cloud accounts using Terraform scripts
Object-oriented programming languages like Python, Java
Schema design and dimensional data modeling
Writing SQL statements
Analyzing data to identify deliverables, gaps and inconsistencies

Responsibilities

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.
Developing and maintaining a custom-built ETL framework to move data from Hive to Salesforce Data Cloud.
Implementing automated alert systems using a custom-built alerting framework to detect errors and exceptions.
Managing and maintaining AWS cloud account using Terraform scripts, ensuring infrastructure as code (IaC) best practices and least access principle for access management.
Collaborating with marketing teams to design and create datasets for marketing systems, ensuring data accuracy and relevance.