Senior Data Engineer, Discord

• 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
• 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 Senior 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. If this sounds exciting to you and you’re passionate about data, impact, and working on an amazing team, read on!
• 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!