Data Engineer, Discord

• If this sounds exciting to you and you’re passionate about data, impact, and working on an amazing team, read on!
• 2+ years of experience building data pipelines in production with deep knowledge of performant scalable patterns
• 2+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources
• 2+ 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 skills to thrive in ambiguous environments where problems are not well-defined and evolve quickly
• A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord
• Last but not least - a collaborative attitude and a healthy dose of natural curiosity!

Desirable

• Discord is looking for experienced and passionate Data Engineers to join our Data team!
• Data Engineers at Discord collaborate with data science and engineering teams to build and support foundational high-leverage data sets that power tools, analyses, and models
• The data sets built by DE directly inform how we identify opportunities, measure success, and make decisions
• 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 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!