Pave
Analytics Engineer
- Confirmed live in the last 24 hours
- $169k–$222k
- Mid level
- On-site · San Francisco, CA & New York, NY
- 4+ yrs exp
- Added 2 months ago
About this role
Pave is seeking an Analytics Engineer to build and maintain their compensation intelligence platform, leveraging real-time data and machine learning. This role will focus on designing scalable data pipelines, ensuring data quality, and collaborating with cross-functional teams to translate product needs into actionable insights. You'll play a key role in driving revenue growth and shaping the future of compensation management.
What you'll do
- Extend and maintain core data models.
- Design scalable data pipelines for market data.
- Implement data observability and validation frameworks.
- Collaborate with data scientists, product managers, and engineers.
- Translate product requirements into data-driven insights.
- Contribute to revenue growth.
What they're looking for
- dbt
- Airflow
- Cloud Data Warehouses
- Data Pipelines
- ML Workflows
- Data Observability
Benefits
- Comprehensive medical, dental, and vision coverage
- Unlimited PTO
- Lunch and dinner stipends
- Quarterly education stipend
- Commuter stipend
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Pave
Likely interview questions
- Describe your experience designing and implementing scalable data pipelines. What challenges did you face, and how did you overcome them?
- How have you used dbt in previous roles? Can you describe a complex transformation you’ve built?