14 days ago
Base Salary
$179k - $200k/yr
Responsibilities
- Define ETL processes and infrastructure to make data available across the company.
- Build core datasets as single sources of truth for product and business teams.
- Partner with data scientists and stakeholders to design, build, and monitor scalable data pipelines.
- Implement automated workflows, define SLAs for timely data delivery, and enable self-serve dashboards, discovery tools, and AI-assisted data exploration.
Requirements
- 5+ years of experience as a data engineer building core datasets and supporting business functions.
- Strong understanding of scalable cloud data solutions across AWS, GCP, and Azure and multiple data stores.
- Expertise in SQL, including aggregation, window functions, UDFs, self-joins, and query optimization.
- Strong object-oriented programming skills in Python, Java, or Scala.
- Ability to gather business needs, design technical solutions, and communicate deliverables, timelines, and tradeoffs clearly.
- Expertise using AI and agent-based tools to accelerate safe, production-scale data development.
- Preferred: experience at a fast-scaling or SaaS company.
- Preferred: hands-on experience with highly scalable, reliable data pipelines using Airflow, dbt, Spark, Hive, Parquet/ORC, and Protobuf/Thrift.
Benefits
- The role is based at Notion’s San Francisco headquarters with in-office work on Mondays, Tuesdays, and Thursdays as Anchor Days.
- Notion offers competitive cash compensation, equity, and benefits.
Tech Stack
Amazon RedshiftApache AirflowApache HiveApache SparkAWSAzuredbtGoogle Cloud PlatformJavaPythonScalaSnowflakeSQL
Categories
Data Engineering
About Notion
Notion builds an all-in-one workspace that combines docs, wikis, databases, and project management with collaborative AI features for individuals and teams. It operates a freemium, subscription-based, land‑and‑expand model used from small groups to large enterprises. Founded in 2016 and headquartered in San Francisco, the privately held company focuses on unifying knowledge, projects, and workflows in a customizable platform.