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Описание вакансии
Текст:
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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