Senior Data Engineer

• Design processes for ingesting, processing, observing, and maintaining billions of data points
• Manage access, roles, and security for our Snowflake instance
• Architect schema and data flow
• Collaborate with your team and product to strike the ideal balance between business-driven and team-driven priorities
• Monitor cloud costs across our toolset
• Mentor and train your team and others across the business
• Build and maintain relationships with our diverse partner teams

• Storied career in data engineering
• Clear understanding of the difference between OLAP and OLTP RDBMS systems, and demonstrable experience planning and implementing high-performance data processes using both
• Proven proficiency with our total toolkit (AWS, Snowflake, dbt, Airflow, Docker, Fivetran, Hightouch, Sigma, Jira, Confluence, Slack, etc) or comparable counterparts
• Love of language, especially SQL & Python
• Obsessive drive for quality and performance
• Penchant for concise clarity in your communication, code, and documentation
• Warmth and inclusiveness for your collaborators, colleagues, and peers
• Proactive preoccupation with observability

Above-average appreciation for alliteration

• Medical care
• Life insurance
• Sports package
• Annual budget for professional development ($2,000)