179K–200K USD / year
Data Engineer, Product
DataHybrid — San Francisco, California
Published on 2026-10-28
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Build reliable data foundations and trusted datasets that help Notion’s product and business teams make decisions. Design scalable pipelines and self-serve data tools to support the company’s growth.
About the company
Notion builds an all-in-one workspace for notes, docs, wikis, and project management. It serves individuals and teams that want connected knowledge and work in one place.
Stack
AWSGCPAzureSnowflakeRedshiftHiveSQLPython
What you'll do
- Define ETL processes and infrastructure to make data available across the company.
- Build core datasets that serve as sources of truth for product and business teams.
- Partner with data scientists and stakeholders to design, build, and monitor scalable pipelines.
- Automate workflows, establish data delivery SLAs, and create self-serve data discovery and exploration tools.
What we're looking for
- 5+ years of data engineering experience building core datasets and supporting business functions.
- Strong knowledge of cloud data platforms, data stores, data modeling, and data marts.
- Expert SQL skills, including query optimization, window functions, UDFs, and self-joins.
- Proficiency in object-oriented programming with Python, Java, or Scala.
- Experience using AI and agent-based tools in production-scale data development.
- Strong communication skills and ability to translate stakeholder needs into technical solutions.
Nice to have
- Experience at a fast-growing or SaaS company.
- Experience building scalable data pipelines with tools such as Airflow, dbt, Spark, Hive, and columnar or serialization formats.