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About the role
Build and maintain production data pipelines in Databricks that process product events, user activity, and agent interactions across Go. Develop datasets for onboarding, activation, engagement, retention, and conversion so teams can work from consistent metrics. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You have 2+ years of experience building and operating production data pipelines, ideally for product analytics or other critical business use cases
- You’re highly proficient in SQL and have experience writing, debugging, and optimizing transformations in a modern lakehouse or cloud data warehouse such as Databricks or Snowflake
- You understand data modeling and warehouse design, and can turn complex source data into tables that others can understand and reuse
- You test your work carefully, investigate unexpected results, and trace data issues back to their source
- You have experience with workflow orchestration, version control, and deployment practices for data pipelines, using tools such as Databricks Workflows, Airflow, and Git
- You use AI-assisted development tools such as Codex, Claude Code, or Cursor, and take responsibility for testing and validating the code they produce
More about this role
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.
Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs.
Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Docs’ collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here .
The Opportunity
As a Data Engineer on the Business Unit (BU) Pod supporting Go , you’ll build the pipelines and data models that help us...
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