117K–205K USD / year
Data Engineer, Business Units - Go
DataHybrid — San Francisco, California, United States
Published on 2026-10-22
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About this role
Build and operate production data pipelines and reusable data models to help teams understand how people use Go, Superhuman’s proactive AI assistant. Partner with Product, Engineering, and Data Science to measure user engagement, product impact, customer adoption, and business growth.
About the company
Superhuman is an email productivity tool designed to enhance users' efficiency and workflow. The company serves professionals looking to optimize their email management through innovative features and streamlined processes.
The team
Business Unit pod supporting Go, working with Data Platform and Go teams.
Stack
DatabricksSQLSnowflakeDatabricks WorkflowsAirflowGitPythonSpark
What you'll do
- Build and maintain pipelines for product events, user activity, and agent interactions.
- Develop consistent datasets for onboarding, activation, engagement, retention, and conversion.
- Collaborate on measurement requirements and improve event logging and downstream data quality.
- Document reusable data models and support self-service analytics; create focused analyses and dashboards as needed.
- Connect product usage to customer and account data to measure adoption, value, and revenue contribution.
- Add tests and monitoring, investigate discrepancies, and improve pipeline reliability, performance, and cost.
What we're looking for
- 2+ years building and operating production data pipelines.
- Strong SQL skills and experience with Databricks, Snowflake, or a similar lakehouse or cloud warehouse.
- Understanding of data modeling and warehouse design.
- Experience with orchestration, version control, and deployment practices, such as Databricks Workflows, Airflow, and Git.
- Careful testing and troubleshooting, with the ability to trace data issues to their source.
- Clear communication with technical and nontechnical partners; able to translate product questions into data requirements.
- Experience using AI-assisted development tools and validating their output.
Nice to have
- Python or Spark experience.
- Product or growth analytics experience, including funnels, retention, conversion, or A/B testing.
- Experience with behavioral event data from web, desktop, or mobile products.
- Experience measuring AI products or agents.
- Experience building self-service dashboards or data tools.
Benefits
- 20 days of paid time off per year, 12 paid holidays, two floating holidays, and flexible sick time.
- Paid parental leave.
- 401(k) matching.
- Health, dental, vision, mental health, and fertility benefits.
- Professional development budget and stipends for caregiving, pet care, wellness, and home office.