Notion

Software Engineer, Data Platform

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What Notion is looking for in applicants

About Us:

We're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.

We've been working on this together since 2016, and have customers like Nike, Airbnb, Slack, Samsung and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.

About The Role:

Do you want to help define what data means at Notion? We are looking to hire engineers with a vision for what our data tooling and infrastructure should look like as we scale, and then to build and operate those systems over time.

You'll partner with teams all around the company to empower every function with data and insights. You'll help evolve Notion and the infrastructure it uses to make sure that decisions can always be driven by high quality data.

What You'll Achieve:

  • You'll design and set up the foundations that enable everyone in the company - data scientists, finance, customer success, etc. - to effectively self-serve and leverage data. This can involve scalable ingestion infrastructure and tooling for data model, dashboards, query engines, experimentation and many other things!
  • You'll articulate best practices around logging and ingestion frameworks and implement the changes to make those practices a reality.
  • You'll implement monitoring and alerting systems to guarantee data quality and consistency.
  • You'll determine the best ways to handle Notion's unique data model and usage patterns to derive insights and bring intelligence to product features like search and discovery.
  • You'll create tools to enable the data science team to produce insights quickly, and help them apply and generalize statistical and econometric models efficiently across large datasets.

Skills You'll Need to Bring:

  • Team player: For you, work isn't a solo endeavor. You have worked cross-functionally to establish the right overarching data architecture for a company's needs, to build data ingestion (real-time & batch), and to provide guidance on best data practices for the business.
  • Data expertise: You have built and managed highly scalable data processing solutions (e.g. Spark, Flink), data lakes or warehouses (e.g. Snowflake, Hive), authored queries (SQL), used workflow management (e.g. Airflow, Luigi), and have experience maintaining the infra that supports these.
  • Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
  • Pragmatic and business-oriented: You care about business impact and prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line.
  • Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.
  • Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
  • Empathetic communication: You communicate nuanced ideas clearly, whether you are explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.

Nice to Haves:

  • You've built out data infrastructure from, or nearly from, scratch at a fast-growing startup.
  • You've led or managed a Data Engineering / Platform / Infrastructure Team.
  • You've owned or managed mission-critical datasets.

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.

Want some tips on how to get an interview at Notion?

What is Notion looking for?
If this role looks interesting to you, a great first step is to understand what excites you about the team, product or mission. Take your time thinking about this and then tell the team! Get in touch and communicate that passion.
What are interviews for Software Engineer like?
Interview processes vary by company, role and team. The best plan is to see what others have experienced and then plan accordingly.
How to land an interview at Software Engineer?
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