Staff Data Engineer, Ads

🕒 June 4

🇺🇸 United States – Remote

💵 $248k - $279k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Discord

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🎮 Gaming

🌍 Social Impact

📡 Telecommunications

💰 $12G Venture Round on 2022-03

Gaming • Social Impact • Telecommunications

Discord is a communication platform designed for creating communities. Users can chat via text, voice, or video, and the platform is known for its emphasis on gaming. It provides customized experiences with features like custom emojis, stickers, and soundboard effects. Discord supports seamless streaming with high quality and low latency, making it ideal for gamers to hang out and play games together online. It is accessible across various devices including PC, phone, and console. Additionally, Discord places a high priority on safety and moderation, offering resources and guidelines for keeping communities safe and engaging. It is widely used for social interactions, gaming, and community building.

📋 Description

• Create and maintain complex, enterprise-scale data pipelines and foundational datasets while defining technical strategy and architectural direction for advertising products • Design and build sophisticated ETL processes, data models, and analytical frameworks using SQL, Python, and modern data stack technologies • Build and maintain the data infrastructure that powers Ads ML - feature pipelines, label generation workflows, and training data systems that enable our ranking and delivery models • Develop data quality frameworks, monitoring systems, automated anomaly detection, and alerting infrastructure that operates at massive scale • Collaborate with data scientists, ML engineers, and product teams to identify high-impact data infrastructure opportunities, owning design through implementation • Drive cross-functional technical initiatives solving sophisticated data engineering challenges • Build scalable rubrics that help lead and mentor engineers through projects that accelerate launch velocity and harden data systems • Navigate ambiguity and make sound technical decisions with incomplete information, balancing short-term delivery with long-term infrastructure investment

🎯 Requirements

• 7+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising technology domains (eg. ad delivery, ranking, targeting, identity) • 7+ years of direct implementation experience designing, coding, and maintaining complex data models and systems handling structured and unstructured data sources • Expert-level coding abilities in SQL, Python, and modern data engineering frameworks with demonstrated ability to write performant, maintainable, and scalable code • Digital advertising data engineering expertise with hands-on experience building high-throughput data pipelines for ad serving, conversion tracking, advertising measurement, or integrating and normalizing third-party advertising data from external platforms and partners • Proven hands-on experience implementing and debugging data quality audits, monitoring systems, and automated remediation for massive datasets (billions+ rows) • Strong technical communication abilities to explain complex implementations to stakeholders while thriving in rapidly-evolving technical environments • Passion for solving complex problems through direct technical contribution and desire to work with exceptional engineers on challenging data infrastructure • Hands-on collaboration experience implementing solutions with data science, ML engineering, and product teams through direct technical contribution • Collaborative mindset with intellectual curiosity and commitment to technical excellence through hands-on delivery.

🏖️ Benefits

• equity • benefits