Data Engineer, Product

The role

You will design and build reliable datasets to accelerate decision-making across product and business functions. You will define ETL processes, build core datasets, and partner with stakeholders to design and monitor scalable pipelines.

What you will do

• Define ETL processes and infrastructure to make data readily available across the company
• Build core datasets as single sources of truth for product and business teams
• Partner with data scientists and stakeholders to design, build, and monitor pipelines
• Implement automated workflows that reduce operational costs
• Define SLAs for timely data delivery
• Democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration

Required qualifications

• 5+ years of experience as a data engineer building core datasets and supporting business functions
• Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional modeling, da
• SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques
• Highly comfortable with object-oriented programming (Python, Java, Scala)
• Expert at using AI and agent-based tools to accelerate data development

Nice to have

• Experience at a fast-scaling or SaaS company
• Enthusiasm to contribute in such an environment
• Current Notion users especially welcome
• Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift)

Benefits

• Highly competitive cash compensation
• Equity
• Benefits

About the company

Notion is the collaborative AI workspace where teams and agents think together. Millions of individuals, small teams, and large companies run their work on Notion.