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Market-Observed Role 🔍 Observed Likely Active (65-79)
This role was detected through Discord's hiring system and hasn't been verified directly by the employer. Our algorithm scored it as Likely Active (65-79) based on freshness, specificity, and company patterns. What does this mean? →

Staff Data Engineer, Ads

Discord
🔍 Observed
66
Hiring Activity Score
Likely Active (65-79)
  • ✅ Base score
  • ✅ Posted 21 days ago
  • ✅ has location, quality description (6374 chars)
  • ✅ 3 skills
  • ✅ High confidence (90%)
  • ✅ Direct ATS (greenhouse)
How the Hiring Activity Score works →
Remote (U.S.) First seen 3 weeks ago Last seen 1 hour, 22 minutes ago Greenhouse
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Job Description

AI Summary
• Lead technical strategy and architecture for Discord's ads data infrastructure while designing and maintaining enterprise-scale data pipelines, ETL processes, and analytical frameworks • Build data systems powering ads ML including feature pipelines, label generation, and training data for ranking and delivery models, plus develop data quality and anomaly detection frameworks at massive scale • Collaborate cross-functionally with data scientists, ML engineers, product, and sales teams to identify and own high-impact data infrastructure initiatives from design through implementation • Mentor and lead fellow engineers on projects that improve launch velocity and system reliability while navigating technical ambiguity and balancing short-term delivery with long-term infrastructure investment • Requires 7+ years of hands-on production code and data pipeline experience in advertising technology (ad delivery, ranking, targeting), expert-level SQL and Python skills, and deep digital advertising domain expertise

Skills

git python sql
Quick Actions
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Job Information
  • Company:
    Discord
  • Location:
    Remote (U.S.)
  • Job Type:
    Full-Time
  • Work Location:
    Remote
  • Experience Level:
    Senior
  • Source:
    Greenhouse
  • Status:
    Active
Activity Score
66 /100
Likely Active (66)

Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →

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🔍 Observed Market-Observed Roles

These roles were detected through employer hiring systems like Workday. They haven't been verified by the employer directly, so we score each one using our Hiring Activity Score — an algorithm that analyzes freshness, specificity, company hiring patterns, and more to estimate whether the role is actively being filled.

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