Resume and JobRESUME AND JOB
Notion logo

Data Engineer, Go-To-Market

Notion

Data Engineer, Go-To-Market

Notion logo

Notion

full-time

Posted: November 25, 2025

Number of Vacancies: 1

Job Description

About Us:

Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.

In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.

About The Role:

As Notion continues to grow rapidly, we're seeking talented data engineers to join our team and help us build the foundational datasets and pipelines to support our go-to-market strategies. You'll be at the forefront of integrating our product and business systems to create rock solid processes that will propel us forward. If you're passionate about analytics use cases, data models, and solving complex data problems, then we want you on our team.

What You'll Achieve:

  • You'll build core datasets to serve as the sources of truth for Notion’s marketing and sales reporting, integrating data to and from business systems data and Notion’s product.

  • You’ll partner closely with our Marketing, Sales, Revenue Operations, Business Technology, Business Intelligence and Data Science teams to support critical reporting and analysis needs.

  • You'll design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size.

  • You’ll help democratize access to high quality data across go-to-market teams, Staff, and the entire company.

Skills You'll Need to Bring:

  • You've spent 3+ years as a data engineer building core datasets and supporting business verticals as needed, ideally in product and business areas with high data volumes. You are passionate about analytics use cases, data models and solving complex data problems.

  • You have experience working with both Marketing and Sales datasets at a SaaS company, and have built integrations with business systems like Salesforce, Netsuite, Marketo, Zendesk, etc.

  • You are a self-starter and continuously gather and synthesize high-impact needs from business partners, design and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs

  • You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas)

  • You are a SQL expert. You intimately understand aggregation functions, window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries

  • You are comfortable with object-oriented programming paradigms (e.g Python, Java, Scala)

Nice to Haves:

  • You have hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc)

  • You have worked with Go-To-Market stakeholders in the past.

  • You’ve worked at a fast-growing company or are eager to contribute in such an environment (being a current Notion user would also be great!)

We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.

Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $177,000 per year.

By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.

#LI-Onsite

Locations

  • San Francisco, California, United States

Salary

150,000 - 177,000 USD / yearly

Skills Required

  • Data engineeringintermediate
  • Building core datasetsintermediate
  • Analytics use casesintermediate
  • Data modelsintermediate
  • Marketing and Sales datasetsintermediate
  • SaaS company experienceintermediate
  • Integrations with Salesforce, Netsuite, Marketo, Zendeskintermediate
  • Self-starterintermediate
  • Cloud (AWS, GCP, Azure)intermediate
  • Data stores (Snowflake, Redshift, Hive, SQL/NoSQL)intermediate
  • Dimensional modeling, data marts, star/snowflake schemasintermediate
  • SQL (aggregation functions, window functions, UDFs, self-joins, partitioning, clustering)intermediate
  • Object-oriented programming (Python, Java, Scala)intermediate

Required Qualifications

  • 3+ years as a data engineer building core datasets and supporting business verticals as needed, ideally in product and business areas with high data volumes. Passionate about analytics use cases, data models and solving complex data problems. (experience)
  • Experience working with both Marketing and Sales datasets at a SaaS company, and built integrations with business systems like Salesforce, Netsuite, Marketo, Zendesk, etc. (experience)
  • Self-starter who continuously gathers and synthesizes high-impact needs from business partners, designs and implements appropriate technical solutions, and effectively communicates about deliverables, timelines and tradeoffs. (experience)
  • Hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas). (experience)
  • SQL expert with intimate understanding of aggregation functions, window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries. (experience)
  • Comfortable with object-oriented programming paradigms (e.g Python, Java, Scala). (experience)

Preferred Qualifications

  • Hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc). (experience)
  • Worked with Go-To-Market stakeholders in the past. (experience)
  • Worked at a fast-growing company or eager to contribute in such an environment (being a current Notion user would also be great!). (experience)

Responsibilities

  • Build core datasets to serve as the sources of truth for Notion’s marketing and sales reporting, integrating data to and from business systems data and Notion’s product.
  • Partner closely with Marketing, Sales, Revenue Operations, Business Technology, Business Intelligence and Data Science teams to support critical reporting and analysis needs.
  • Design, build and monitor pipelines that meet today's requirements but can gracefully scale with growing data size.
  • Help democratize access to high quality data across go-to-market teams, Staff, and the entire company.

Benefits

  • general: Highly competitive cash compensation
  • general: Equity
  • general: Benefits

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Notion logo

Data Engineer, Go-To-Market

Notion

Data Engineer, Go-To-Market

Notion logo

Notion

full-time

Posted: November 25, 2025

Number of Vacancies: 1

Job Description

About Us:

Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.

In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.

About The Role:

As Notion continues to grow rapidly, we're seeking talented data engineers to join our team and help us build the foundational datasets and pipelines to support our go-to-market strategies. You'll be at the forefront of integrating our product and business systems to create rock solid processes that will propel us forward. If you're passionate about analytics use cases, data models, and solving complex data problems, then we want you on our team.

What You'll Achieve:

  • You'll build core datasets to serve as the sources of truth for Notion’s marketing and sales reporting, integrating data to and from business systems data and Notion’s product.

  • You’ll partner closely with our Marketing, Sales, Revenue Operations, Business Technology, Business Intelligence and Data Science teams to support critical reporting and analysis needs.

  • You'll design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size.

  • You’ll help democratize access to high quality data across go-to-market teams, Staff, and the entire company.

Skills You'll Need to Bring:

  • You've spent 3+ years as a data engineer building core datasets and supporting business verticals as needed, ideally in product and business areas with high data volumes. You are passionate about analytics use cases, data models and solving complex data problems.

  • You have experience working with both Marketing and Sales datasets at a SaaS company, and have built integrations with business systems like Salesforce, Netsuite, Marketo, Zendesk, etc.

  • You are a self-starter and continuously gather and synthesize high-impact needs from business partners, design and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs

  • You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas)

  • You are a SQL expert. You intimately understand aggregation functions, window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries

  • You are comfortable with object-oriented programming paradigms (e.g Python, Java, Scala)

Nice to Haves:

  • You have hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc)

  • You have worked with Go-To-Market stakeholders in the past.

  • You’ve worked at a fast-growing company or are eager to contribute in such an environment (being a current Notion user would also be great!)

We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.

Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $177,000 per year.

By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.

#LI-Onsite

Locations

  • San Francisco, California, United States

Salary

150,000 - 177,000 USD / yearly

Skills Required

  • Data engineeringintermediate
  • Building core datasetsintermediate
  • Analytics use casesintermediate
  • Data modelsintermediate
  • Marketing and Sales datasetsintermediate
  • SaaS company experienceintermediate
  • Integrations with Salesforce, Netsuite, Marketo, Zendeskintermediate
  • Self-starterintermediate
  • Cloud (AWS, GCP, Azure)intermediate
  • Data stores (Snowflake, Redshift, Hive, SQL/NoSQL)intermediate
  • Dimensional modeling, data marts, star/snowflake schemasintermediate
  • SQL (aggregation functions, window functions, UDFs, self-joins, partitioning, clustering)intermediate
  • Object-oriented programming (Python, Java, Scala)intermediate

Required Qualifications

  • 3+ years as a data engineer building core datasets and supporting business verticals as needed, ideally in product and business areas with high data volumes. Passionate about analytics use cases, data models and solving complex data problems. (experience)
  • Experience working with both Marketing and Sales datasets at a SaaS company, and built integrations with business systems like Salesforce, Netsuite, Marketo, Zendesk, etc. (experience)
  • Self-starter who continuously gathers and synthesizes high-impact needs from business partners, designs and implements appropriate technical solutions, and effectively communicates about deliverables, timelines and tradeoffs. (experience)
  • Hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas). (experience)
  • SQL expert with intimate understanding of aggregation functions, window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries. (experience)
  • Comfortable with object-oriented programming paradigms (e.g Python, Java, Scala). (experience)

Preferred Qualifications

  • Hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc). (experience)
  • Worked with Go-To-Market stakeholders in the past. (experience)
  • Worked at a fast-growing company or eager to contribute in such an environment (being a current Notion user would also be great!). (experience)

Responsibilities

  • Build core datasets to serve as the sources of truth for Notion’s marketing and sales reporting, integrating data to and from business systems data and Notion’s product.
  • Partner closely with Marketing, Sales, Revenue Operations, Business Technology, Business Intelligence and Data Science teams to support critical reporting and analysis needs.
  • Design, build and monitor pipelines that meet today's requirements but can gracefully scale with growing data size.
  • Help democratize access to high quality data across go-to-market teams, Staff, and the entire company.

Benefits

  • general: Highly competitive cash compensation
  • general: Equity
  • general: Benefits

Target Your Resume for "Data Engineer, Go-To-Market" , Notion

Get personalized recommendations to optimize your resume specifically for Data Engineer, Go-To-Market. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Engineer, Go-To-Market" , Notion

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

EngineeringEngineering

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