Data Engineer • Senior

Who you are

You have 5+ years of experience in data engineering, with a strong focus on building and maintaining complex data pipelines and datasets. Your expertise in SQL and Python allows you to design and implement sophisticated ETL processes that support data-driven decision-making. You are a technical leader who enjoys mentoring fellow engineers and collaborating with cross-functional teams to drive innovation in advertising products.

You have a deep understanding of modern data stack technologies and are skilled in architecting scalable solutions that empower teams through data. Your experience includes working closely with Data Science, product, sales, and account management teams to transform advertising products through data-driven insights. You thrive in environments where you can lead technical initiatives and influence the direction of data infrastructure.

What you'll do

In this role, you will create and maintain enterprise-scale data pipelines that support Discord's advertising products. You will define the technical strategy and architectural direction for ads data infrastructure, ensuring that it meets the needs of various stakeholders. Your responsibilities will include designing and building ETL processes, data models, and analytical frameworks that leverage your expertise in SQL and Python.

You will lead cross-functional initiatives that aim to enhance the capabilities of Discord's advertising products through data insights. Collaborating with Data Science and product teams, you will ensure that the data infrastructure is robust and scalable, enabling effective analysis and reporting. You will also mentor fellow engineers, sharing your knowledge and best practices to help them deliver exceptional results.

What we offer

Discord provides a dynamic work environment where you can make a significant impact on the future of gaming and communication. You will have the opportunity to work with a talented team of engineers and data professionals who are passionate about leveraging data to drive product innovation. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.