Data Engineer • Mid-Level

Who you are

You have a strong background in data engineering, with experience in designing and building scalable data solutions that support product analytics. Your technical skills in SQL and Python enable you to work with extensive datasets, ensuring data quality and security while optimizing performance. You possess an analytical mindset that allows you to identify opportunities and challenges within data, driving impactful product decisions. You are a collaborative team player, comfortable working with software engineering, data science, and product management teams to deliver data-driven insights. You have a knack for storytelling with data, effectively communicating complex findings to stakeholders and influencing product strategies. You are committed to continuous learning and growth within the data engineering field, eager to tackle new challenges and refine your skills.

What you'll do

As a Data Engineer at Meta, you will shape the future of our products by designing and building scalable data solutions that enhance user experiences across our applications. You will collaborate with cross-functional teams to identify key questions and develop optimal data artifacts, including datasets and visualizations. Your role will involve refining existing systems, designing logging solutions, and creating data models that address complex analytical problems. You will ensure data security and quality while suggesting architecture and development approaches that enhance efficiency. By leveraging data, you will help shape product development and identify new opportunities for growth. You will prioritize projects and drive innovative solutions to meet the challenges faced by our products. Your ability to tell data-driven stories will be crucial in convincing and influencing your partners, building credibility through clear insights and recommendations.

What we offer

At Meta, you will be part of a world-class data engineering community dedicated to skill development and career growth. We provide a collaborative environment where you can work on interesting data challenges at a scale few companies can match. You will have access to resources and opportunities for professional development, allowing you to advance your career in data engineering and beyond. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.