Data Engineer

• Build core datasets to serve as the sources of truth for Notion’s financial reporting, integrating data from financial systems, business systems data and Notion’s product
• Partner closely with Finance, Monetization Engineering, Business Intelligence and Data Science teams to support critical financial reporting and analysis needs
• Design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size
• Help democratize access to high quality financial data across Finance, Staff and go-to-market teams

• 4+ years as a data engineer building core datasets and supporting business verticals
• Experience building integrations with and reporting datasets for payments, finance and business systems like Stripe, Netsuite, Adaptive, Anaplan, Salesforce and/or others
• Self-starter who can gather and synthesize high-impact needs, design technical solutions, and communicate deliverables
• Hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas)
• SQL expert with understanding of aggregation functions, window functions, UDFs, self-joins, partitioning and clustering
• Comfortable with object-oriented programming paradigms (e.g Python, Java, Scala)
• Curious and willing to adopt AI tools

• Hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc)
• Hands-on experience building payment processing and invoice systems or have worked closely with teams that do this

Highly competitive cash compensation, equity, and benefits