Product Data Engineer: Design Scalable Data Pipelines

D8 LooP; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Notion is seeking a Mid-level to Senior Data Engineer in San Francisco to design and optimize data pipelines and analytics tooling. You will work with a stack including Python, SQL, Airflow, DBT, Spark and Hive to deliver scalable data products.

Strong knowledge of cloud data platforms (AWS, GCP, Azure) is essential, with a focus on performance, reliability, and self-serve data access. The role emphasizes building automated workflows, SLAs for data delivery, and democratizing data for teams via

Qualifications

• Analytical mindset and passion for data analytics, data modeling, and solving complex problems.
• SQL expert with advanced aggregation, window functions, UDFs, self-joins, and optimization techniques.
• Experience with scalable cloud data solutions across AWS, GCP and Azure.
• Hands-on design and building of scalable data pipelines using Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift.

Responsibilities

Skills

Python

SQL

AWS

GCP

Spark

Airflow

DBT

Hive

Protobuf/Thrift

Parquet/ORC

Job description

Notion is seeking a Mid-level to Senior Data Engineer in San Francisco to design and optimize data pipelines and analytics tooling. You will work with a stack including Python, SQL, Airflow, DBT, Spark and Hive to deliver scalable data products.

Strong knowledge of cloud data platforms (AWS, GCP, Azure) is essential, with a focus on performance, reliability, and self-serve data access. The role emphasizes building automated workflows, SLAs for data delivery, and democratizing data for teams via