Staff Data Engineer - Data Infrastructure

Discord

  • Bay Area, California, United States
  • $279,000 - $310,000 a year
  • Posted Aug 11, 2026
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Data QualityVersion ControlAutomated RemediationSQLPythonData ModelingCI/CDAnomaly detectionData GovernanceMonitoring

Job description

About the role

The Staff Data Engineer will lead the technical vision and architecture of Discord’s analytical data infrastructure, creating enterprise‑scale curated datasets, data governance programs, and semantic layers that support internal decisions and external reporting. Reporting to the Director of Data Engineering, the role collaborates with Data Governance, Data Science, Product, Finance, and Engineering teams.

About the company

Discord is a multiplatform, multigenerational social platform that connects millions of daily active users around video games and shared interests, helping people deepen friendships and enabling developers to grow their businesses. The company emphasizes its role in the future of gaming and a mission‑driven, inclusive culture.

Requirements

  • 7+ years of experience in data and software engineering focused on building curated, consumer‑facing datasets
  • 7+ years of experience designing, developing, and maintaining data infrastructure used by data teams at scale
  • Expert‑level SQL and strong Python skills, with solid fundamentals in version control and CI/CD
  • Proven experience implementing data quality audits, monitoring systems, and automated remediation for massive datasets
  • Strong business acumen and communication skills, able to translate ambiguous business questions into concrete metric definitions and explain complex implementations to engineering peers and executive leadership
  • Track record of hands‑on collaboration with Data Science, Finance, and Product teams
  • Passion for Discord or online communities (preferred)
  • Experience building or contributing to a semantic layer or metrics store (preferred)
  • Experience with modern analytics and data engineering tools and workflows (e.g., dbt, BigQuery, or similar) (preferred)
  • Experience defining and governing metric standards across a data organization (preferred)
  • Experience with reporting infrastructure subject to external audit or SOX compliance (preferred)