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1 live role · checked 7 h ago

Data engineering jobs at Notion.

Fetched from Notion's own careers portal, every six hours, kept for 14 days at most. Every role below comes with the skills it asks for and a plan built from D8LooP's drills.

Data Engineer, ProductMid

Notion · San Francisco, California

Data modellingPythonSQLAWSAzure9 d ago5+ yrs

Notion · jobs.ashbyhq.com · checked today

Data Engineer, Product

San Francisco, CaliforniaMid5+ yrsData Engineerposted 9 d ago

Skills, with evidence

  • Data modelling
    with a passion for analytics, data modeling, and solving complex problemsmust have
  • Python
    Highly comfortable with object-oriented programming (Python, Java, Scala)must have
  • SQL
    SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques for writing correct, high-performance queriesmust have
  • AWS
    Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data storesmust have · not practised here
  • Azure
    Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data storesmust have · not practised here
  • GCP
    Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data storesmust have · not practised here
  • Airflow / orchestration
    Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift)
  • Data quality
    - Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration
  • Schema evolution & contracts
    - Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift)
  • Spark
    - Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift)
  • dbt
    - Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift)
  • Dashboards & BI
    - Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled explorationnot practised here
  • Java
    - Highly comfortable with object-oriented programming (Python, Java, Scala)not practised here
  • Scala
    - Highly comfortable with object-oriented programming (Python, Java, Scala)not practised here

Your plan

  1. SQL

    drills at the Mid level

  2. Python

    drills at the Mid level

  3. Modelling

    drills at the Mid level

  4. Pipelines

    drills at the Mid level

  5. Spark

    drills at the Mid level

The full plan, drill by drill, is on the job page.

See the full planApply on jobs.ashbyhq.com

leaves in 4 dremoved the moment Notion closes it

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