Data Engineer, Go-To-Market at Notion

San Francisco, California, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SaaSIndustries

Requirements

3+ years as a data engineer building core datasets and supporting business verticals, ideally in product and business areas with high data volumes
Passionate about analytics use cases, data models, and solving complex data problems
Experience working with both Marketing and Sales datasets at a SaaS company, and built integrations with business systems like Salesforce, Netsuite, Marketo, Zendesk, etc
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
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)
SQL expert with intimate understanding of aggregation functions, window functions, UDFs, self-joins, partitioning, and clustering approaches for correct and highly-performant queries
Comfortable with object-oriented programming paradigms (e.g., Python, Java, Scala)

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

Skills

Key technologies and capabilities for this role

data engineeringdata pipelinesdata modelingETLanalyticsSQLPythonbusiness intelligencedata integrationpipeline monitoring

Questions & Answers

Common questions about this position

What is the work location policy at Notion?

Notion requires all team members to work from the offices on Mondays and Thursdays, designated as Anchor Days, with certain teams or positions possibly requiring additional in-office days.

What salary or compensation does this role offer?

This information is not specified in the job description.

What key skills are required for this Data Engineer role?

Candidates need 3+ years as a data engineer building datasets, experience with Marketing and Sales datasets at a SaaS company including integrations with systems like Salesforce and Marketo, hands-on experience with cloud data solutions (AWS, GCP, Azure), multiple data stores (Snowflake, Redshift), and expert-level SQL skills.

What is Notion's company culture like?

In-person collaboration is essential to Notion's culture, with required office attendance on Mondays and Thursdays as Anchor Days.

What makes a strong candidate for this position?

A strong candidate is a self-starter with 3+ years of data engineering experience, passion for analytics use cases and data models, experience supporting Marketing and Sales at a SaaS company, and expertise in scalable cloud data solutions and SQL.

Notion

Versatile productivity and collaboration platform

About Notion

Notion is a workspace platform designed to enhance productivity and collaboration for a wide range of users, from startups to large enterprises. It combines various tools into a single platform, allowing teams to write, plan, and share their work efficiently. Users can start with a free version and upgrade to paid plans as their needs grow. Key features include customizable notes and documents, project management tools, and a drag-and-drop interface for easy page creation. Notion also includes an AI-powered Q&A feature that provides instant answers to user queries, helping to centralize knowledge. The platform supports multiple languages and has a strong global community that contributes content and organizes events.

San Francisco, CaliforniaHeadquarters

2016Year Founded

$325.9MTotal Funding

LATE_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

5,001-10,000Employees

Benefits

Medical, dental & vision insurance

PTO

Mental health & wellbeing package

Parental leave

Fertility coverage

Retirement matching

Commuter benefits

Monthly stipend

Risks

Increased competition from AI-enhanced tools like Evernote.

Potential trust issues with AI features due to factual inaccuracies.

User resistance to adopting new productivity tools.

Differentiation

Notion combines note-taking, task management, and databases into a single platform.

The platform offers customizable workspaces for personal and collaborative use.

Notion AI assists with tasks like text generation and predictive analytics.

Upsides

Integration with Slack and Google Drive enhances workflow automation.

Acquisition of Skiff strengthens Notion's privacy offerings.

Standalone apps like Notion Calendar expand Notion's modular productivity solutions.

Land your dream remote job 3x faster with AI

Try Jobo Free