Senior Data Engineer

Summary

Join Discord's Data team as a Senior Data Engineer! You will build and maintain data pipelines and foundational datasets, design database architectures for massive data, and collaborate with data science and engineering teams. Responsibilities include developing data quality audits, creating dashboards, and partnering with various teams to achieve business objectives. This US-based role requires 4+ years of experience in data pipeline building, data modeling, SQL and Python coding, and data quality auditing. Bonus points for experience with specific technologies and a passion for Discord. The salary range is $183,000 to $201,500 + equity + benefits.

Requirements

• 4+ years of experience building data pipelines in production environments with high volumes of consumer data
• 4+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources
• 4+ years of experience writing accurate and effective code in SQL and Python
• Experience implementing and monitoring audits for data quality with massive data sets (e.g. billions of rows)
• Experience proactively identifying opportunities to improve ETL & dashboard performance and cost
• Experience leveraging your excellent communication and stakeholder management skills to thrive in ambiguous environments where problems are not well-defined and evolve quickly
• Experience collaborating directly with data science, machine learning, and product engineering teams
• A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord
• A collaborative attitude and a healthy dose of natural curiosity!

Responsibilities

• Create and maintain data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs
• Design and build database architectures with massive and complex data, balancing ergonomic benefits with computational load and cost
• Collaborate closely with data science, machine learning, and engineering teams to improve the coverage, accuracy, and reliability of instrumentation
• Develop audits for data quality at scale, implementing alerting and anomaly detection as necessary
• Create scalable dashboards and reports to support business objectives and enable data-driven decision making
• Partner with data scientists, engineers, and product teams to accomplish all of the above!

Preferred Qualifications

• Passion for Discord or online communities
• Experience owning and proactively improving the data models for a functional area leveraging deep knowledge of performant scalable patterns
• Experience with modern data storage and processing technologies (i.e. BigQuery SQL, Airflow, and DBT or similar)
• Experience with data visualization and dashboarding technologies (i.e. Looker, Tableau, or similar)
• Experience with designing data architecture to power a variety of use cases, including experimentation

Benefits

• Equity
• Benefits