- San Francisco
- Date Posted
- Jun. 6, 2021
- Software Engineering
- Business Applications
We make software that anyone can mold and shape to take on every challenge — from taking personal notes to running large companies. We’ve been building together since 2016 and are trusted by customers including Nike, Airbnb, Slack, Samsung, and more. We’re excited to be growing a team as diverse and creative as the millions of people we reach worldwide, and a company where everyone can thrive.
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 Do:
- You’ll design and set up the foundations that enable everyone in the company - data scientists, finance, customer success, etc. - to effectively leverage data. This can involve data pipelines, model serving, dashboards, 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 and 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.
What We’re Looking For:
- 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 pipelines, and to provide guidance on best data practices for the business.
- Data expertise: You have managed data pipelines (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.
- 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.