Data Engineer, Product

Posted Yesterday
San Francisco, CA, USA
Hybrid
179K-200K Annually
Senior level
Artificial Intelligence • Productivity • Software
Notion is the AI workspace where teams and AI think together. Come build work that lasts.
The Role
Build reliable ETL infrastructure, scalable data pipelines, and trusted datasets serving product and business teams. Partner with data scientists and stakeholders to model data, monitor pipelines, define delivery SLAs, automate workflows, and enable self-service analytics and AI-assisted data exploration. The role requires strong SQL, cloud data-platform expertise, object-oriented programming, data modeling, and experience delivering production-scale data solutions.
Summary Generated by Built In
Who We Are

Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.

Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.

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 proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. 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.

By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.

#LI-Onsite

A Note on AI

You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.

Equal Opportunity & Accommodations

We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.

Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. 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 due to a disability, please let your recruiter know.

Skills Required

  • 5+ years of experience as a data engineer building core datasets and supporting business functions
  • Experience with scalable cloud data solutions across AWS, GCP, or Azure
  • Experience with data stores including Snowflake, Redshift, Hive, SQL/NoSQL, or columnar formats
  • Knowledge of dimensional modeling, data marts, and schemas
  • Expert-level SQL skills, including aggregation, window functions, UDFs, self-joins, and query optimization
  • Proficiency with object-oriented programming in Python, Java, or Scala
  • Expertise using AI and agent-based tools for production-scale data development, including guardrails, workflows, and context
  • Experience at a fast-scaling or SaaS company
  • Hands-on experience designing and building scalable, reliable data pipelines with Airflow, dbt, Spark, Hive, Parquet/ORC, Protobuf, or Thrift

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The Company
HQ: San Francisco, CA
1,000 Employees
Year Founded: 2016

What We Do

Notion is a collaborative AI workspace. Teams use it to store knowledge, run projects, take meeting notes, and build AI workflows — all in one place, so AI always has the context it needs to be useful. We're building the layer where AI stops being a chat window and starts being part of how work gets done. Knowledge, decisions, and action in one connected system.

Why Work With Us

We're building the layer where AI stops being a chat window and starts being part of how work gets done. Notion is where AI becomes useful at work: real workflows, real users, real context. People here move from idea to shipped without asking permission. If you want your fingerprints on work that millions of people use, this is the place.

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Notion Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Notion is an in-person company. We come together three days a week: Monday, Tuesday, and Thursday — because the best collaboration tends to sneak up on you. A quick question becomes a whiteboard session. A lunch reshapes a plan. Togetherness is what

Typical time on-site: 3 days a week
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