Senior Data Engineer

This position is SF based only.

What you will be doing:

• 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!

What you should have

• 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
• Last but not least - a collaborative attitude and a healthy dose of natural curiosity!

Bonus Points:

• 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

The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.