Data Engineer, Product

About the Role:

Notion's mission is to make toolmaking ubiquitous—from wikis and documents to notes, tasks, and databases. Strong product intuition and user focus have driven adoption across organizations of all sizes. Millions of users now rely on Notion's building blocks to get work done.

As Notion scales, there's a unique opportunity to build the data foundations that help our product and company reach their full potential. You'll design and build reliable, trusted datasets that accelerate decision-making across product and business functions, directly impacting our roadmap and growth.

This role is based in our San Francisco Headquarters. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.

What You'll Achieve:

• 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 (product, marketing, sales, finance, customer experience, data science, operations, IT, engineering)
• Partner with data scientists and stakeholders to understand their needs and design, build, and monitor pipelines that scale with our growing data
• Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration

Skills You'll Need to Bring:

• Self-starter who gathers high-impact needs from business partners, designs technical solutions, and communicates clearly about deliverables, timelines, and tradeoffs
• 5+ years of experience as a data engineer building core datasets and supporting business functions, with a passion for analytics, data modeling, and solving complex problems
• 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, data marts, schemas)
• SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques for writing correct, high-performance queries
• Highly comfortable with object-oriented programming (Python, Java, Scala)
• Expert at using AI and agent-based tools to accelerate data development for yourself and others, including defining guardrails, workflows, and context for safe, production-scale data work

Nice to Haves:

• Experience at a fast-scaling or SaaS company, with 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)

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.

Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.

Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $179,000 - $200,000 per year.

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