Data Engineer, Go-To-Market

SupportFinity™; San Francisco (CA); On-site; USD 150,000 - 177,000; Full time

Job summary

Notion is seeking a talented data engineer in San Francisco who will build core datasets and support reporting across marketing and sales. The successful candidate will have over 3 years of experience in data engineering, particularly within SaaS companies, with strong SQL skills and experience integrating various systems. The estimated salary range for this role is $150,000 - $177,000 yearly, reflecting the competitive nature of the industry and location.

Qualifications

• 3+ years as a data engineer, ideally in high data volume areas.
• Experience with Marketing and Sales datasets in SaaS.
• Hands-on experience with scalable data solutions in the cloud.

Responsibilities

• Build core datasets for marketing and sales reporting.
• Design, build, and monitor data pipelines.
• Collaborate with multiple teams for data access and insights.

Skills

Data engineering

SaaS experience

SQL expertise

Cloud solutions

Object-oriented programming

Tools

AWS

GCP

Azure

Snowflake

Redshift

Hive

Python

Job description

Location

San Francisco, California

Employment Type

Full time

Department

Engineering

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 implement the appropriate technical solutions, and effectively communicate 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.

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