Senior Data Engineer

Discord • San Francisco, CA

12d • $220,500 - $245,000 • Remote

About The Position

Discord is looking for Senior Data Engineers to join their world-class Data team. Data Engineers at Discord work with data science, machine learning, and engineering teams to build the foundational datasets behind their tools, analyses, and models. The data built directly shapes how Discord finds opportunities, measures success, and makes product and business decisions. They are hiring for multiple verticals including Gaming Intelligence and GRC. This position is US based only.

Requirements

• 4+ years of experience building and operating production data pipelines with high volumes of consumer data
• Strong data modeling skills across structured and unstructured sources
• Proficiency in SQL and Python, with a focus on correct, performant, maintainable code
• Experience implementing and monitoring data quality checks on very large datasets (e.g. billions of rows)
• A track record of owning complex projects end to end: breaking them into phases and balancing speed, usability, and risk
• Clear communication and stakeholder management skills, and comfort working on problems that are ambiguous and change quickly
• A collaborative approach and natural curiosity

Nice To Haves

• Passion for Discord or online communities
• Experience with BigQuery, Airflow, and dbt, or similar tools
• Experience with Looker, Tableau, or similar dashboarding tools
• Experience designing data architecture for experimentation, creating frameworks that scale instead of one-off solutions
• Experience mentoring other engineers or setting data engineering standards for a team

Responsibilities

• Own the data models and pipelines for a functional area end to end, from design through implementation and adoption
• Build and maintain foundational datasets that power analytics, modeling, experimentation, and the dashboards and reports teams rely on
• Design data architectures for massive, complex data, balancing usability, performance, and cost
• Partner with data science, ML, and engineering teams to improve the coverage, accuracy, and reliability of instrumentation
• Build data quality audits at scale, with alerting and anomaly detection where needed
• Find and act on opportunities to improve pipeline and dashboard performance and cost
• Drive adoption of your work through documentation and enablement, and share what you learn with teammates

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed