Staff Data Engineer, Ads

Discord

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.

Posted 6/4/2026full-timeRemote • 🇺🇸 United StatesLead💰 $248,000 - $279,000 per yearWebsite

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

equity
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Hard Skills & Tools

SQLPythonETL processesdata modelsdata quality frameworksautomated anomaly detectiondata infrastructuredata engineering frameworkshigh-throughput data pipelinesdata normalization

Soft Skills

technical communicationproblem-solvingcollaborationmentoringnavigating ambiguityintellectual curiositycommitment to technical excellence