Data Engineer • Mid-Level

Who you are

You have a solid background in data engineering, with experience in designing and building scalable data solutions that optimize growth and user experience. Your technical skills are complemented by an analytical mindset, allowing you to tackle complex data challenges effectively. You are proficient in SQL and Python, and have hands-on experience with data processing frameworks like Apache Spark and Airflow. You understand the importance of data quality and security, and you prioritize efficiency in your work.

You excel in communication and can tell compelling data-driven stories that influence stakeholders. Your ability to present insights clearly and build credibility makes you a trusted partner in cross-functional teams. You thrive in collaborative environments, working closely with software engineers, data scientists, and product managers to drive impactful projects.

What you'll do

As a Data Engineer at Meta, you will be responsible for designing and building some of the world's most extensive data sets. You will collaborate with various teams to create optimal data artifacts, including datasets and visualizations, that address key business questions. Your role will involve refining existing systems, designing logging solutions, and creating scalable data models that ensure data security and quality.

You will prioritize projects and drive innovative solutions to respond to challenges and opportunities within the organization. Your work will directly contribute to crafting experiences for billions of users and hundreds of millions of businesses worldwide. You will be at the forefront of identifying and solving interesting data challenges at a scale few companies can match.

What we offer

Joining Meta means becoming part of a world-class data engineering community dedicated to skill development and career growth. You will have the opportunity to work on cutting-edge AI research and transform it into real-world products that reach billions. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our teams.