Staff Data Engineer, Ads
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Job Description
Staff Data Engineer at Discord driving technical vision for advertising products with a focus on data infrastructure. Leading cross-functional initiatives while collaborating with data science and product teams.
Responsibilities:
- 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
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