Data Engineer, Product

Notion - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Professional, Scientific, and Technical Services

About the position

The Data Engineer, Product role at Notion focuses on building the foundations of data to support the company's growth and enhance decision-making processes. The position involves designing and implementing reliable datasets that serve various business functions, ensuring data is readily available and democratized across the organization. The role is pivotal in shaping the data infrastructure and collaborating with internal stakeholders to meet their data needs.

Responsibilities

• Define the processes and ETL infrastructure to transform and make data readily available across the company.
• Build core datasets to serve as unique sources of truth for product and business functions.
• Partner with data scientists and other internal stakeholders to understand their needs and design, build, and monitor pipelines.
• Implement automated workflows that lower manual/operational costs for stakeholders.
• Define and uphold SLAs for timely delivery of data.

Requirements

• 3+ years of experience as a data engineer building core datasets and supporting business verticals.
• Hands-on experience shipping scalable data solutions in the cloud (e.g., AWS, Google Cloud Platform, Azure).
• Experience with multiple data stores (e.g., Snowflake, Redshift, Hive, SQL/NoSQL).
• Expertise in SQL, including aggregation functions, window functions, UDFs, self-joins, partitioning, and clustering.
• Comfortable with object-oriented programming paradigms (e.g., Python, Java, Scala).

Nice-to-haves

• Experience working at a fast-growing start-up or SaaS company.
• Hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g., Airflow, DBT, Spark, Hive).

Benefits

• Equal opportunity employer
• Commitment to diversity and inclusion
• Reasonable accommodations for qualified individuals with disabilities