Discord

Overview

Discord seeks a seasoned Data Engineer, focusing on our advertising product data. In this role, you will drive technical vision and strategy for ads data engineering in support of our ML initiatives while building and maintaining sophisticated data pipelines, datasets, and analytical tools. You will lead cross-functional initiatives to transform our advertising products through data-driven insights and mentor fellow engineers to deliver exceptional results.

About Discord

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and a

Requirements & Eligibility

• 5+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising technology domains
• Deep expertise in digital advertising data engineering - specifically in ads delivery, conversion measurement, attribution pipelines, or ML feature data infrastructure
• Demonstrated experience building data models in a greenfield or 0-to-1 environment
• Expert-level SQL and Python
• Proven hands-on experience with data quality audits, monitoring systems, and automated anomaly detection for massive-scale datasets
• Strong technical communication skills with the ability to drive alignment, influence prioritization, and earn adoption from technical stakeholders
• Collaborative mindset and strong cross-functional instincts

Key Responsibilities

• Design and own core ads data models: fact/dim tables, canonical datasets, and aggregation layers that power delivery, measurement, targeting, attribution, and ML use cases.
• Build and maintain the ML data that enables ads ranking, delivery, and targeting
• Build conversion measurement pipelines and integrate third-party attribution data
• Build batch and near real-time pipeline infrastructure across the ads ecosystem
• Develop data quality frameworks, monitoring systems, automated anomaly detection, and SLA infrastructure for critical ads pipelines at massive scale.
• Proactively identify foundational data infrastructure gaps and design scalable, canonical solutions.
• Build systems from scratch in a rapidly evolving, greenfield advertising data environment.
• Drive alignment across Data Science, ML Engineering, Ads Product, and GTM teams through clear narratives.