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 our first data engineer to guide the team 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. With your background in data processing and warehousing, you'll partner with other members of the Data Team to evolve the infrastructure that allows Notion to make high quality decisions that are driven by data.
What You'll Do:
You'll design and set up the tools that allow other members of the data team to easily write effective data pipelines.
You'll articulate best practices around logging frameworks and implement the changes to make those practices a reality.
You'll implement alerting systems to track data quality and consistency.
You'll create tools for data science team members that enable them to produce insights quickly and with high impact.
You'll help the Data Science team 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 tools experience: You have experience managing relational databases and authoring queries (SQL) and using workflow management technologies (e.g. Airflow, Luigi)
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're 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.
If you have led or managed a Data Engineering Team.