Data Engineer, Go-To-Market at Notion

This role is designed for a **mid-level Data Engineer (3+ years experience)** who specializes in the intersection of product data and business operations. The i

Work type: onsite

Location: San Francisco, California

Salary: $150,000 – $177,000/yr

Type: Full-time

Summary

This role is designed for a **mid-level Data Engineer (3+ years experience)** who specializes in the intersection of product data and business operations. The ideal candidate has a strong background in SaaS, specifically working with GTM tools like Salesforce, Marketo, and Zendesk. You should be a SQL expert who is comfortable with Python and experienced in building scalable dimensional models (Star/Snowflake schemas) within cloud environments like Snowflake or AWS. The compensation is highly competitive, ranging from **$150,000 to $177,000 plus equity**. While the listing mentions "Remote," note the heavy emphasis on **in-person collaboration**: you are required to be in the San Francisco office every Monday, Tuesday, and Thursday. This is a high-impact opportunity to build the "source of truth" datasets for foundational teams like Sales and Marketing at a Tier-1 tech company. **You might be a good fit if you:** * Have experience integrating messy business system data (Salesforce, Netsuite) with clean product data. * Prefer a "hybrid" San Francisco lifestyle, valuing 3 days of in-office collaboration per week. * Are a "builder" who can own the entire lifecycle of a pipeline, from stakeholder requirements to monitoring and scaling. * Have hands-on experience using modern data stack tools like **dbt, Airflow, and Snowflake**.

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, Tuesdays, 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)

You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results

# 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](https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550)[.](https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21)

#LI-Onsite

View this job on nocollar jobs