Назад
4 дня назад

Senior Data Engineer (Gaming)

220 500 - 245 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (Gaming/Data): Building foundational datasets, production data pipelines, and data architectures for Discord's gaming-focused analytics, experimentation, and machine learning systems with an accent on scalability, data quality, and cost-efficient performance. Focus on designing high-volume data models, implementing anomaly detection and quality audits, and partnering with data science, ML, and engineering teams on complex end-to-end projects.

Location: San Francisco Bay Area; US based only

Salary: $220,500–$245,000 US base salary annually, plus equity and benefits

Company

Discord is a multiplatform social platform focused on gaming, shared interests, and online communities.

What you will do

  • Own data models and production pipelines for a functional area from design through implementation and adoption.
  • Build and maintain foundational datasets for analytics, machine learning, experimentation, dashboards, and reporting.
  • Design architectures for massive and complex data while balancing usability, performance, and cost.
  • Partner with data science, ML, and engineering teams to improve instrumentation coverage, accuracy, and reliability.
  • Implement scalable data quality audits, alerting, anomaly detection, and performance improvements.
  • Document solutions, enable adoption, and share knowledge with other engineers.

Requirements

  • Must be based in the United States; the role is located in the San Francisco Bay Area.
  • 4+ years of experience building and operating production data pipelines with high-volume consumer data.
  • Strong data modeling skills across structured and unstructured sources.
  • Proficiency in SQL and Python, with an emphasis on correct, performant, and maintainable code.
  • Experience monitoring data quality on very large datasets, including billions of rows.
  • Experience owning complex projects end to end, with strong communication and stakeholder management skills.

Nice to have

  • Experience with BigQuery, Airflow, dbt, Looker, Tableau, or similar tools.
  • Experience designing scalable data architectures for experimentation.
  • Experience mentoring engineers or establishing data engineering standards.
  • Passion for Discord or online communities.

Culture & Benefits

  • Equity and employee benefits are included in addition to base salary.
  • Collaborative work with data science, machine learning, and engineering teams.
  • Commitment to inclusion and reasonable accommodations during the interview process.

Hiring process

  • Reasonable accommodations are available during interviews upon request.

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